diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..6ef0525958b15fa276f20866829b880e0490b920
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,162 @@
+## Python: https://github.com/github/gitignore/blob/main/Python.gitignore
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
\ No newline at end of file
diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
new file mode 100644
index 0000000000000000000000000000000000000000..4e9b517c6010a368eb4787175e1da19eae74fabb
--- /dev/null
+++ b/.gitlab-ci.yml
@@ -0,0 +1,19 @@
+build:
+  stage: build
+  tags:
+    - docker-builder
+  image:
+    name: gcr.io/kaniko-project/executor:debug
+    entrypoint: [""]
+  variables:
+    IMAGE_TAG: ${CI_COMMIT_REF_SLUG}
+    GIT_SUBMODULE_STRATEGY: recursive
+    GIT_SUBMODULE_DEPTH: 1
+    GIT_SUBMODULE_UPDATE_FLAGS: --jobs 4
+  before_script:
+    - echo "{\"auths\":{\"${CI_REGISTRY}\":{\"auth\":\"$(printf "%s:%s" "${CI_REGISTRY_USER}" "${CI_REGISTRY_PASSWORD}" | base64 | tr -d '\n')\"},\"$CI_DEPENDENCY_PROXY_SERVER\":{\"auth\":\"$(printf "%s:%s" ${CI_DEPENDENCY_PROXY_USER} "${CI_DEPENDENCY_PROXY_PASSWORD}" | base64 | tr -d '\n')\"}}}" > /kaniko/.docker/config.json
+  script:
+    - /kaniko/executor
+      --context "${CI_PROJECT_DIR}"
+      --dockerfile "${CI_PROJECT_DIR}/Dockerfile"
+      --destination "${CI_REGISTRY_IMAGE}:${IMAGE_TAG}"
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..c8cd928494db61be68686563dae5dc498c176444
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,37 @@
+ARG BUILDER_BASE_IMAGE=jupyter/scipy-notebook:python-3.9
+FROM $BUILDER_BASE_IMAGE as builder
+
+# ================================================================================
+# Linux applications and libraries
+# ================================================================================
+
+# USER root
+#
+# RUN apt-get update \
+#  && apt-get install --yes --quiet --no-install-recommends \
+#     graphviz \
+#  && apt-get clean \
+#  && rm -rf /var/lib/apt/lists/*
+
+# ================================================================================
+# Install all needed Python Packages
+# ================================================================================
+
+USER ${NB_UID}
+
+# Install from the requirements.txt file
+COPY --chown=${NB_UID}:${NB_GID} requirements.in /tmp/
+RUN pip install --no-cache-dir --requirement /tmp/requirements.in \
+ && fix-permissions "${CONDA_DIR}" \
+ && fix-permissions "/home/${NB_USER}"
+
+# ================================================================================
+# Setup the user
+# ================================================================================
+
+USER ${NB_UID}
+WORKDIR "${HOME}"
+
+COPY --chown=${NB_UID}:${NB_GID} assets/ assets/
+COPY --chown=${NB_UID}:${NB_GID} clustering_tutorial.ipynb .
+
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..10748f974d3efb24cf3b9f95ae2bc1df39c22ed2
--- /dev/null
+++ b/README.md
@@ -0,0 +1,28 @@
+# tutorial-clustering-tutorial
+
+In this tutorial, we introduce to the most popular clustering algorithms. We focus on partitioning, hierarchical and density-based clustering algorithms. The methods are tested on synthetic datasets of increasing complexity
+
+
+## Development
+
+Cloning the source code:
+```
+git clone git@gitlab.mpcdf.mpg.de:nomad-lab/ai-toolkit/tutorial-clustering-tutorial.git
+cd tutorial-clustering-tutorial
+git checkout updates # use a special branch
+```
+
+Running notebook image and mounting local folder into teh work directory:
+```
+docker run --rm -it -e DOCKER_STACKS_JUPYTER_CMD=notebook -p 8888:8888 -v $PWD:/home/jovyan/work gitlab-registry.mpcdf.mpg.de/nomad-lab/ai-toolkit/tutorial-clustering-tutorial:updates
+```
+
+Building the image (advanced):
+```
+docker build --pull --rm -f "Dockerfile" -t gitlab-registry.mpcdf.mpg.de/nomad-lab/ai-toolkit/tutorial-clustering-tutorial:updates "."
+```
+
+Running container with sudo feature (advanced):
+```
+docker run --rm -it --user root -e GRANT_SUDO=yes -e DOCKER_STACKS_JUPYTER_CMD=notebook -p 8888:8888 -v $PWD:/home/jovyan/work gitlab-registry.mpcdf.mpg.de/nomad-lab/ai-toolkit/tutorial-clustering-tutorial:updates
+```
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diff --git a/assets/clustering_tutorial/logo_NOMAD.png b/assets/clustering_tutorial/logo_NOMAD.png
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diff --git a/assets/logos/mpcdf.svg b/assets/logos/mpcdf.svg
new file mode 100644
index 0000000000000000000000000000000000000000..a164012441bb7c91c7f6ffa29edf1f96380534ff
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diff --git a/clustering_tutorial.ipynb b/clustering_tutorial.ipynb
index 69eff4195abb8f4a0ec3cc85b3c69c1215d128db..1db18df9951a67db40b0762ddd659b2026474623 100644
--- a/clustering_tutorial.ipynb
+++ b/clustering_tutorial.ipynb
@@ -9,16 +9,36 @@
     }
    },
    "source": [
-    "<img  src=\"assets/clustering_tutorial/header.jpg\" width=\"900\"> "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<img style=\"float: left;\" src=\"assets/clustering_tutorial/logo_MPG.png\" width=150>\n",
-    "<img style=\"float: left; margin-top: -10px\" src=\"assets/clustering_tutorial/logo_NOMAD.png\" width=250>\n",
-    "<img style=\"float: left; margin-top: -5px\" src=\"assets/clustering_tutorial/logo_HU.png\" width=130>"
+    "<div style=\"\n",
+    "    background-color: #f7f7f7;\n",
+    "    background-image: url('data:image/svg+xml;base64,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'), url('data:image/svg+xml;base64,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') ;\n",
+    "    background-position: left bottom, right top;\n",
+    "    background-repeat: no-repeat,  no-repeat;\n",
+    "    background-size: auto 60px, auto 160px;\n",
+    "    border-radius: 5px;\n",
+    "    box-shadow: 0px 3px 1px -2px rgba(0, 0, 0, 0.2), 0px 2px 2px 0px rgba(0, 0, 0, 0.14), 0px 1px 5px 0px rgba(0,0,0,.12);\">\n",
+    "\n",
+    "<h1 style=\"\n",
+    "    color: #2a4cdf;\n",
+    "    font-style: normal;\n",
+    "    font-size: 4rem;\n",
+    "    line-height: 1.4em;\n",
+    "    font-weight: 4600;\n",
+    "    padding: 30px 200px 0px 30px;\">\n",
+    "    Introduction to clustering</h1>\n",
+    "\n",
+    "<p style=\"font-size: 1.25em; font-style: italic; padding: 5px 200px 30px 30px;\">\n",
+    "    Luigi Sbailò and Luca M. Ghiringhelli\n",
+    "</p>\n",
+    "</div>\n",
+    "\n",
+    "<div style=\"margin: 10px;\">\n",
+    "    <img style=\"float: left; margin: 5px 20px 0px 0px;\" src=\"assets/logos/hu-berlin.svg\" width=\"110\">\n",
+    "    <img style=\"float: left; margin: 0px 20px 0px 0px;\" src=\"assets/logos/nomad.svg\" width=\"110\">\n",
+    "    <img style=\"float: left; margin: 15px 20px 0px 0px;\" src=\"assets/logos/nomad-infrastructure.svg\" width=\"120\">\n",
+    "    <img style=\"float: left; margin: 5px 20px 0px 10px;\" src=\"assets/logos/mpcdf.svg\" width=\"270\">\n",
+    "</div>\n",
+    "<p style=\"text-align: right; padding: 0px 10px 10px 0px;\">[Last updated: February, 2024]</p>\n"
    ]
   },
   {
@@ -75,17 +95,16 @@
    },
    "outputs": [],
    "source": [
-    "from sklearn.datasets import make_blobs, make_moons\n",
-    "from sklearn.cluster import KMeans, DBSCAN\n",
     "import hdbscan\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
-    "import matplotlib as mpl\n",
+    "\n",
     "from scipy.cluster.hierarchy import dendrogram, linkage, cut_tree\n",
-    "# here we set the style of the plots that will be shown below\n",
-    "plt.style.use('bmh')\n",
-    "plt.rcParams[\"figure.figsize\"] = (8,6)\n",
-    "title_size=24"
+    "from sklearn.datasets import make_blobs, make_moons\n",
+    "from sklearn.cluster import KMeans, DBSCAN\n",
+    "\n",
+    "# # here we set the style of the plots that will be shown below\n",
+    "plt.style.use(\"bmh\")"
    ]
   },
   {
@@ -147,21 +166,24 @@
    "source": [
     "# We set a random_state to generate always the same Gaussian sampling.\n",
     "random_state = 0\n",
+    "\n",
     "# The make_blobs function requires the centers, standard deviations and number of samples for each Gaussian to sample.\n",
-    "centers = [[10,7],[0,3],[-5,0],[3,0]]\n",
-    "n_samples = [500,200,300,100]\n",
-    "cluster_std=[1.5,1,1,0.5]\n",
-    "     \n",
-    "X_blobs, y_blobs = make_blobs(n_samples=n_samples,\n",
-    "                   random_state=random_state,\n",
-    "                   cluster_std=cluster_std,\n",
-    "                   centers=centers)\n",
-    "\n",
-    "fig, axs = plt.subplots(1,2,figsize=[16,6])\n",
-    "axs[0].scatter(X_blobs[:,0],X_blobs[:,1],c=y_blobs)\n",
-    "axs[0].set_title('labeled blobs', size=title_size)\n",
-    "axs[1].scatter(X_blobs[:,0],X_blobs[:,1])\n",
-    "axs[1].set_title('dataset', size=title_size)\n",
+    "centers = [[10, 7], [0, 3], [-5, 0], [3, 0]]\n",
+    "n_samples = [500, 200, 300, 100]\n",
+    "cluster_std = [1.5, 1, 1, 0.5]\n",
+    "\n",
+    "X_blobs, y_blobs = make_blobs(\n",
+    "    n_samples=n_samples,\n",
+    "    random_state=random_state,\n",
+    "    cluster_std=cluster_std,\n",
+    "    centers=centers,\n",
+    ")\n",
+    "\n",
+    "fig, axs = plt.subplots(1, 2, figsize=[16, 6])\n",
+    "axs[0].scatter(X_blobs[:, 0], X_blobs[:, 1], c=y_blobs)\n",
+    "axs[0].set_title(\"labeled blobs\")\n",
+    "axs[1].scatter(X_blobs[:, 0], X_blobs[:, 1])\n",
+    "axs[1].set_title(\"dataset\")\n",
     "\n",
     "plt.show();"
    ]
@@ -189,13 +211,15 @@
    "outputs": [],
    "source": [
     "n_clusters = 4\n",
+    "\n",
     "# 'fit_predict' runs the clustering algorithm and returns the labels assigned to each datapoint.\n",
     "# Different label values indicate different clusters.\n",
     "labels = KMeans(n_clusters=n_clusters).fit_predict(X_blobs)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
     "\n",
-    "plt.title('k-means', size=title_size)\n",
-    "plt.scatter(X_blobs[:,0],X_blobs[:,1],c=labels);"
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.title(\"k-means\")\n",
+    "plt.scatter(X_blobs[:, 0], X_blobs[:, 1], c=labels);"
    ]
   },
   {
@@ -222,10 +246,13 @@
    "outputs": [],
    "source": [
     "n_clusters = 6\n",
+    "\n",
     "labels = KMeans(n_clusters=n_clusters).fit_predict(X_blobs)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.title('k-means', size=title_size)\n",
-    "plt.scatter(X_blobs[:,0],X_blobs[:,1],c=labels);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.title(\"k-means\")\n",
+    "plt.scatter(X_blobs[:, 0], X_blobs[:, 1], c=labels);"
    ]
   },
   {
@@ -250,10 +277,13 @@
    "outputs": [],
    "source": [
     "n_clusters = 2\n",
+    "\n",
     "labels = KMeans(n_clusters=n_clusters).fit_predict(X_blobs)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.title('k-means', size=title_size)\n",
-    "plt.scatter(X_blobs[:,0],X_blobs[:,1],c=labels);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.title(\"k-means\")\n",
+    "plt.scatter(X_blobs[:, 0], X_blobs[:, 1], c=labels);"
    ]
   },
   {
@@ -331,15 +361,19 @@
    },
    "outputs": [],
    "source": [
-    "distance_threshold=100\n",
+    "distance_threshold = 100\n",
+    "\n",
     "# We use the SciPy implementation of hierarchical clustering and select the 'ward' the linkage criterion.\n",
-    "Z = linkage(X_blobs, 'ward' )\n",
+    "Z = linkage(X_blobs, \"ward\")\n",
+    "\n",
     "# 'cut_tree' returns the cluster assignments obtained if the algorithm stops merging clusters\n",
-    "# when they are at a further distance than a 'distance_threshold' value. \n",
+    "# when they are at a further distance than a 'distance_threshold' value.\n",
     "labels = cut_tree(Z, height=distance_threshold)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.title('ward', size=title_size)\n",
-    "plt.scatter(X_blobs[:,0],X_blobs[:,1],c=labels.T[0]);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.title(\"ward\")\n",
+    "plt.scatter(X_blobs[:, 0], X_blobs[:, 1], c=labels.T[0]);"
    ]
   },
   {
@@ -369,7 +403,7 @@
    "outputs": [],
    "source": [
     "# SciPy implements a function for directly plotting the dendrogram.\n",
-    "dendrogram(Z, truncate_mode='lastp',p=4);"
+    "dendrogram(Z, truncate_mode=\"lastp\", p=4);"
    ]
   },
   {
@@ -406,12 +440,15 @@
    "outputs": [],
    "source": [
     "distance_threshold = 40\n",
-    "Z = linkage(X_blobs, 'ward' )\n",
+    "\n",
+    "Z = linkage(X_blobs, \"ward\")\n",
+    "\n",
     "labels = cut_tree(Z, height=distance_threshold)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
     "\n",
-    "plt.title('ward', size=title_size)\n",
-    "plt.scatter(X_blobs[:,0],X_blobs[:,1],c=labels.T[0]);"
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.title(\"ward\")\n",
+    "plt.scatter(X_blobs[:, 0], X_blobs[:, 1], c=labels.T[0]);"
    ]
   },
   {
@@ -438,11 +475,11 @@
    },
    "outputs": [],
    "source": [
-    "fig, axs = plt.subplots(1,2,figsize=[16,6])\n",
-    "axs[0].scatter(X_blobs[:,0],X_blobs[:,1],c=y_blobs)\n",
-    "axs[0].set_title('labeled blobs', size=title_size)\n",
-    "axs[1].scatter(X_blobs[:,0],X_blobs[:,1])\n",
-    "axs[1].set_title('dataset', size=title_size);"
+    "fig, axs = plt.subplots(1, 2, figsize=[16, 6])\n",
+    "axs[0].scatter(X_blobs[:, 0], X_blobs[:, 1], c=y_blobs)\n",
+    "axs[0].set_title(\"labeled blobs\")\n",
+    "axs[1].scatter(X_blobs[:, 0], X_blobs[:, 1])\n",
+    "axs[1].set_title(\"dataset\");"
    ]
   },
   {
@@ -457,26 +494,27 @@
    },
    "outputs": [],
    "source": [
-    "def scaling (X, a_x, b_y):\n",
-    "    transformation = np.array([[a_x,0],[0,b_y]])\n",
-    "    return np.dot(transformation,X.T).T\n",
+    "def scaling(X, a_x, b_y):\n",
+    "    transformation = np.array([[a_x, 0], [0, b_y]])\n",
+    "    return np.dot(transformation, X.T).T\n",
+    "\n",
     "\n",
     "# sk-learn implements the make_moons function to generate two interleaving half circles.\n",
-    "X_moons,y_moons = make_moons(n_samples=200, noise=0.04)\n",
+    "X_moons, y_moons = make_moons(n_samples=200, noise=0.04)\n",
     "\n",
-    "X_moons = scaling (X_moons, 4, 3)\n",
-    "X_moons[:,0] = X_moons[:,0] + 10\n",
-    "X_moons[:,1] = X_moons[:,1] - 4 \n",
+    "X_moons = scaling(X_moons, 4, 3)\n",
+    "X_moons[:, 0] = X_moons[:, 0] + 10\n",
+    "X_moons[:, 1] = X_moons[:, 1] - 4\n",
     "y_moons = y_moons + np.max(y_blobs) + 1\n",
     "\n",
-    "X_moons = np.concatenate([X_blobs,X_moons])\n",
-    "y_moons = np.concatenate([y_blobs,y_moons])\n",
+    "X_moons = np.concatenate([X_blobs, X_moons])\n",
+    "y_moons = np.concatenate([y_blobs, y_moons])\n",
     "\n",
-    "fig, axs = plt.subplots(1,2,figsize=[16,6])\n",
-    "axs[0].scatter(X_moons[:,0],X_moons[:,1],c=y_moons)\n",
-    "axs[0].set_title('labeled blobs', size=title_size)\n",
-    "axs[1].scatter(X_moons[:,0],X_moons[:,1])\n",
-    "axs[1].set_title('dataset', size=title_size)\n",
+    "fig, axs = plt.subplots(1, 2, figsize=[16, 6])\n",
+    "axs[0].scatter(X_moons[:, 0], X_moons[:, 1], c=y_moons)\n",
+    "axs[0].set_title(\"labeled blobs\")\n",
+    "axs[1].scatter(X_moons[:, 0], X_moons[:, 1])\n",
+    "axs[1].set_title(\"dataset\")\n",
     "plt.show();"
    ]
   },
@@ -499,17 +537,24 @@
    },
    "outputs": [],
    "source": [
-    "fig, axs = plt.subplots(1,2,figsize=[16,6])\n",
     "labels = KMeans(n_clusters=6).fit_predict(X_moons)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "axs[0].scatter(X_moons[:,0],X_moons[:,1],c=labels)\n",
-    "axs[0].set_title ('k-means', size=title_size)\n",
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "fig, axs = plt.subplots(1, 2, figsize=[16, 6])\n",
+    "axs[0].scatter(X_moons[:, 0], X_moons[:, 1], c=labels)\n",
+    "axs[0].set_title(\"k-means\")\n",
+    "\n",
     "distance_threshold = 40\n",
-    "Z = linkage(X_moons, 'ward' )\n",
+    "\n",
+    "Z = linkage(X_moons, \"ward\")\n",
+    "\n",
     "labels = cut_tree(Z, height=distance_threshold)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "axs[1].scatter(X_moons[:,0],X_moons[:,1],c=labels.T[0])\n",
-    "axs[1].set_title('ward', size=title_size);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "axs[1].scatter(X_moons[:, 0], X_moons[:, 1], c=labels.T[0])\n",
+    "axs[1].set_title(\"ward\");"
    ]
   },
   {
@@ -541,11 +586,15 @@
    "outputs": [],
    "source": [
     "distance_threshold = 1.03\n",
-    "Z = linkage(X_moons, 'single' )\n",
+    "\n",
+    "Z = linkage(X_moons, \"single\")\n",
+    "\n",
     "labels = cut_tree(Z, height=distance_threshold)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.title('single linkage', size=title_size)\n",
-    "plt.scatter(X_moons[:,0],X_moons[:,1],c=labels.T[0]);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.title(\"single linkage\")\n",
+    "plt.scatter(X_moons[:, 0], X_moons[:, 1], c=labels.T[0]);"
    ]
   },
   {
@@ -569,11 +618,15 @@
    "outputs": [],
    "source": [
     "distance_threshold = 1.04\n",
-    "Z = linkage(X_moons, 'single' )\n",
+    "\n",
+    "Z = linkage(X_moons, \"single\")\n",
+    "\n",
     "labels = cut_tree(Z, height=distance_threshold)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.title('single linkage', size=title_size)\n",
-    "plt.scatter(X_moons[:,0],X_moons[:,1],c=labels.T[0]);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.title(\"single linkage\")\n",
+    "plt.scatter(X_moons[:, 0], X_moons[:, 1], c=labels.T[0]);"
    ]
   },
   {
@@ -602,13 +655,17 @@
    },
    "outputs": [],
    "source": [
-    "noise_points = 100 \n",
+    "noise_points = 100\n",
     "np.random.seed(seed=0)\n",
+    "\n",
     "# noise is generated as random samples on a surface fully covering our dataset.\n",
-    "noise = np.concatenate([np.expand_dims(np.random.random_sample(noise_points),axis=1)*30-10,\n",
-    "                        np.expand_dims(np.random.random_sample(noise_points),axis=1)*20-5],axis=1)\n",
-    "y_noisy = np.concatenate ([-1*np.ones(noise_points),y_moons])\n",
-    "X_noisy = np.concatenate([noise,X_moons])"
+    "noise = np.concatenate([\n",
+    "    np.expand_dims(np.random.random_sample(noise_points), axis=1) * 30 - 10,\n",
+    "    np.expand_dims(np.random.random_sample(noise_points), axis=1) * 20 - 5,],\n",
+    "    axis=1,\n",
+    ")\n",
+    "y_noisy = np.concatenate([-1 * np.ones(noise_points), y_moons])\n",
+    "X_noisy = np.concatenate([noise, X_moons])"
    ]
   },
   {
@@ -623,11 +680,11 @@
    },
    "outputs": [],
    "source": [
-    "fig, axs = plt.subplots(1,2,figsize=[16,6])\n",
-    "axs[0].scatter(X_noisy[:,0],X_noisy[:,1],c=y_noisy)\n",
-    "axs[0].set_title('labeled blobs', size=title_size)\n",
-    "axs[1].scatter(X_noisy[:,0],X_noisy[:,1])\n",
-    "axs[1].set_title('dataset', size=title_size)\n",
+    "fig, axs = plt.subplots(1, 2, figsize=[16, 6])\n",
+    "axs[0].scatter(X_noisy[:, 0], X_noisy[:, 1], c=y_noisy)\n",
+    "axs[0].set_title(\"labeled blobs\")\n",
+    "axs[1].scatter(X_noisy[:, 0], X_noisy[:, 1])\n",
+    "axs[1].set_title(\"dataset\")\n",
     "plt.show();"
    ]
   },
@@ -644,11 +701,15 @@
    "outputs": [],
    "source": [
     "distance_threshold = 1\n",
-    "Z = linkage(X_noisy, 'single' )\n",
+    "\n",
+    "Z = linkage(X_noisy, \"single\")\n",
+    "\n",
     "labels = cut_tree(Z, height=distance_threshold)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.title('single linkage', size=title_size)\n",
-    "plt.scatter(X_noisy[:,0],X_noisy[:,1],c=labels.T[0]);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.title(\"single linkage\")\n",
+    "plt.scatter(X_noisy[:, 0], X_noisy[:, 1], c=labels.T[0]);"
    ]
   },
   {
@@ -695,20 +756,28 @@
    },
    "outputs": [],
    "source": [
-    "# Cluster assignments are generated with a function analogous to the one used for k-means, \n",
-    "#  we used for both their sk-learn implementation.\n",
+    "# Cluster assignments are generated with a function analogous to the one used for k-means,\n",
+    "# we used for both their sk-learn implementation.\n",
     "labels = DBSCAN(eps=0.8, min_samples=10).fit_predict(X_noisy)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.title('DBSCAN', size=title_size)\n",
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
     "# Points classified as outliers are labeled with -1.\n",
     "# For the plot below, points with -1 label are excluded using the 'np.where()' function.\n",
-    "plt.scatter(X_noisy[np.where(labels!=-1)][:,0],X_noisy[np.where(labels!=-1)][:,1],c=labels[np.where(labels!=-1)]);"
+    "plt.scatter(\n",
+    "    X_noisy[np.where(labels != -1)][:, 0],\n",
+    "    X_noisy[np.where(labels != -1)][:, 1],\n",
+    "    c=labels[np.where(labels != -1)],\n",
+    ")\n",
+    "plt.title(\"DBSCAN\")\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "\n",
     "The plot above does not show points that were labeled as noise during clustering.\n",
     "In this example, we can see that DBSCAN is able to detect clusters with irregular shapes and isolate noise.\n",
     "However, differently from previous algorithms, this algorithm requires 2 input parameters.\n",
@@ -732,16 +801,19 @@
    "outputs": [],
    "source": [
     "random_state = 0\n",
-    "centers = [[-2,10]]\n",
+    "centers = [[-2, 10]]\n",
     "n_samples = [50]\n",
-    "cluster_std=[[3,2]]\n",
-    "X_mixed, y_mixed = make_blobs(n_samples=n_samples,\n",
-    "                  random_state=random_state,\n",
-    "                  cluster_std=cluster_std,\n",
-    "                  centers=centers)\n",
+    "cluster_std = [[3, 2]]\n",
+    "\n",
+    "X_mixed, y_mixed = make_blobs(\n",
+    "    n_samples=n_samples,\n",
+    "    random_state=random_state,\n",
+    "    cluster_std=cluster_std,\n",
+    "    centers=centers,\n",
+    ")\n",
     "y_mixed = y_mixed + np.max(y_noisy) + 1\n",
-    "y_mixed = np.concatenate ([y_noisy,y_mixed])\n",
-    "X_mixed = np.concatenate([X_noisy,X_mixed])"
+    "y_mixed = np.concatenate([y_noisy, y_mixed])\n",
+    "X_mixed = np.concatenate([X_noisy, X_mixed])"
    ]
   },
   {
@@ -756,12 +828,18 @@
    },
    "outputs": [],
    "source": [
-    "fig, axs = plt.subplots(1,2,figsize=[16,6])\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "axs[0].scatter(X_mixed[np.where(y_mixed!=-1)][:,0],X_mixed[np.where(y_mixed!=-1)][:,1],c=y_mixed[np.where(y_mixed!=-1)])\n",
-    "axs[0].set_title ('labeled blobs', size=title_size)\n",
-    "axs[1].scatter(X_mixed[:,0],X_mixed[:,1])\n",
-    "axs[1].set_title ('dataset', size=title_size);"
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "fig, axs = plt.subplots(1, 2, figsize=[16, 6])\n",
+    "axs[0].scatter(\n",
+    "    X_mixed[np.where(y_mixed != -1)][:, 0],\n",
+    "    X_mixed[np.where(y_mixed != -1)][:, 1],\n",
+    "    c=y_mixed[np.where(y_mixed != -1)],\n",
+    ")\n",
+    "axs[0].set_title(\"labeled blobs\")\n",
+    "axs[1].scatter(X_mixed[:, 0], X_mixed[:, 1])\n",
+    "axs[1].set_title(\"dataset\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -784,10 +862,19 @@
    "outputs": [],
    "source": [
     "clustering = DBSCAN(eps=0.8, min_samples=8).fit(X_mixed)\n",
+    "\n",
     "labels = clustering.labels_\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.title('DBSCAN', size=title_size)\n",
-    "plt.scatter(X_mixed[:,0][np.where(labels!=-1)],X_mixed[:,1][np.where(labels!=-1)],c=labels[np.where(labels!=-1)]);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "\n",
+    "plt.scatter(\n",
+    "    X_mixed[:, 0][np.where(labels != -1)],\n",
+    "    X_mixed[:, 1][np.where(labels != -1)],\n",
+    "    c=labels[np.where(labels != -1)],\n",
+    ")\n",
+    "plt.title(\"DBSCAN\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -810,10 +897,18 @@
    "outputs": [],
    "source": [
     "clustering = DBSCAN(eps=0.6, min_samples=3).fit(X_mixed)\n",
-    "plt.title('DBSCAN', size=title_size)\n",
+    "\n",
     "labels = clustering.labels_\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.scatter(X_mixed[:,0][np.where(labels!=-1)],X_mixed[:,1][np.where(labels!=-1)],c=labels[np.where(labels!=-1)]);"
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.scatter(\n",
+    "    X_mixed[:, 0][np.where(labels != -1)],\n",
+    "    X_mixed[:, 1][np.where(labels != -1)],\n",
+    "    c=labels[np.where(labels != -1)],\n",
+    ")\n",
+    "plt.title(\"DBSCAN\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -882,11 +977,19 @@
    "outputs": [],
    "source": [
     "min_cluster_size = 8\n",
-    "# Even though is not part of the sk-learn package, HDBSCAN implementation uses the same sk-learn syntax. \n",
-    "labels=hdbscan.HDBSCAN(min_cluster_size=min_cluster_size, gen_min_span_tree=True).fit_predict(X_mixed)\n",
-    "plt.title('HDBSCAN', size=title_size)\n",
-    "print(np.max(labels)+1,' clusters were extracted.') \n",
-    "plt.scatter(X_mixed[np.where(labels!=-1)][:,0],X_mixed[np.where(labels!=-1)][:,1],c=labels[np.where(labels!=-1)]);"
+    "\n",
+    "# Even though is not part of the sk-learn package, HDBSCAN implementation uses the same sk-learn syntax.\n",
+    "labels = hdbscan.HDBSCAN(min_cluster_size=min_cluster_size, gen_min_span_tree=True).fit_predict(X_mixed)\n",
+    "\n",
+    "print(np.max(labels) + 1, \" clusters were extracted.\")\n",
+    "\n",
+    "plt.scatter(\n",
+    "    X_mixed[np.where(labels != -1)][:, 0],\n",
+    "    X_mixed[np.where(labels != -1)][:, 1],\n",
+    "    c=labels[np.where(labels != -1)],\n",
+    ")\n",
+    "plt.title(\"HDBSCAN\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -913,7 +1016,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.9.13"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/metainfo.json b/metainfo.json
deleted file mode 100644
index 06c7c6e27a62d758acb17de397da0a490157d254..0000000000000000000000000000000000000000
--- a/metainfo.json
+++ /dev/null
@@ -1,40 +0,0 @@
-{
-  "authors": [
-    "Sbailò, Luigi",
-    "Ghiringhelli, Luca M."
-  ],
-  "email": "sbailo@fhi-berlin.mpg.de",
-  "title": "Introduction to clustering",
-  "description": "In this tutorial, we introduce to the most popular clustering algorithms. We focus on partitioning, hierarchical and density-based clustering algorithms. The methods are tested on synthetic datasets of increasing complexity",
-  "notebook_name": "clustering_tutorial.ipynb",
-  "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-clustering-tutorial",
-  "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/clustering_tutorial.ipynb",
-  "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/clustering_tutorial.ipynb",
-  "updated": "2021-01-21",
-  "flags":{
-    "featured": true,
-    "top_of_list": false
-  },
-  "labels": {
-    "application_section": [
-      "Tutorials for artificial-intelligence methods"
-    ],
-    "application_system": [
-      "Synthetic data"
-    ],
-    "category": [
-      "beginner_tutorial"
-    ],
-    "ai_methods": [
-      "Unsupervised learning",
-      "Clustering",
-      "k-means",
-      "Hierarchical clustering",
-      "DBSCAN",
-      "HDBSCAN"
-    ],
-    "platform": [
-      "jupyter"
-    ]
-  }
-}
diff --git a/requirements.in b/requirements.in
new file mode 100644
index 0000000000000000000000000000000000000000..12072fc91eb6ddf16f6a422d03a9f51bf8d80fed
--- /dev/null
+++ b/requirements.in
@@ -0,0 +1,4 @@
+numpy
+matplotlib
+scikit-learn
+hdbscan
\ No newline at end of file