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Commit d567a0a4 authored by Luigi Sbailo's avatar Luigi Sbailo
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Add metainfo and setup files

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{
"authors": [
"Sbailò, Luigi",
"Ghiringhelli, Luca M."
],
"email": "sbailo@fhi-berlin.mpg.de",
"title": "Introduction into clustering",
"description": "In this tutorial we introduce into the most popular clustering algorithms",
"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": "2020-12-2",
"flags":{
"featured": true,
"top_of_list": false
},
"labels": {
"application_keyword": [
"k-means",
"Hierarchical clustering",
"DBSCAN",
"HDBSCAN"
],
"application_section": [
"Tutorials for artificial-intelligence methods"
],
"application_system": [
"Artificial dataset"
],
"category": [
"Tutorial"
],
"data_analytics_method": [
"Clustering"
],
"platform": [
"jupyter"
]
}
}
setup.py 0 → 100644
import json
from setuptools import setup, find_packages
with open('metainfo.json') as file:
metainfo = json.load(file)
setup(
name='clustering_tutorial',
version='1.0',
author=', '.join(metainfo['authors']),
author_email=metainfo['email'],
url=metainfo['url'],
description=metainfo['title'],
long_description=metainfo['description'],
packages=find_packages(),
install_requires=['numpy', 'pandas', 'matplotlib', 'scikit-learn', 'scipy', 'hdbscan'],
)
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