# Python Hierarchical Clustering Exercises
Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks, with full solutions provided as notebooks and as PDFs. These exercises teach the fundamentals of hierarchical clustering using some great real-world datasets, including stock price movements and voting data from the Eurovision song contest.
From the course _Transition to Data Science_. [Buy the entire course for just $10](https://www.udemy.com/transition-to-data-science-in-python/?couponCode=HIERARCH-NBS) for many more exercises and helpful video lectures. Also available at [DataCamp](https://www.datacamp.com/courses/unsupervised-learning-in-python).
# Requirements
To use these exercises you'll need Python 3 and recent versions of scipy, scikit-learn and pandas. The easiest way to get started is to install the free [Anaconda distribution](https://www.anaconda.com/download/).
# License
Free for personal and non-commerical educational use, so long as the links to the course are not removed from any of the files.
Python-使用Python3和scipy作为Jupyter笔记本进行层次聚类练习
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2019-08-12
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Python-使用Python3和scipy作为Jupyter笔记本进行层次聚类练习.zip （26个子文件） 
python-hierarchical-clustering-exercises-master 
.gitignore 60B images 
cluster_linkage_riddle.png 37KB seeds.png 9KB datasets seeds.csv 14KB eurovision-2016-televoting.csv 5KB company-stock-movements-2010-2015-incl.csv 1.07MB seeds-less-rows.csv 3KB solutions 
solution_11_hierachies_of_stocks.pdf 99KB solution_10_hierarchical_clustering_grain.pdf 65KB solution_15_extracting_cluster_labels.pdf 69KB solution_10_hierarchical_clustering_grain.ipynb 17KB solution_14_intermediate_clusterings.ipynb 16KB solution_13_different_linkage_different_hc.ipynb 51KB solution_13_different_linkage_different_hc.pdf 73KB solution_12_which_clusters_are_closest.ipynb 54KB solution_14_intermediate_clusterings.pdf 64KB solution_15_extracting_cluster_labels.ipynb 21KB solution_11_hierachies_of_stocks.ipynb 89KB solution_12_which_clusters_are_closest.pdf 72KB exercises exercise_12_which_clusters_are_closest.ipynb 54KB exercise_14_intermediate_clusterings.ipynb 16KB exercise_15_extracting_cluster_labels.ipynb 18KB exercise_10_hierarchical_clustering_grain.ipynb 4KB exercise_11_hierachies_of_stocks.ipynb 5KB exercise_13_different_linkage_different_hc.ipynb 7KB README.md 1KB资源评论
