Clustering: demo and lab

This repository contains demo of two clustering algorithms: k-means and agglomerative hierarchical clustering.

In the lab, we use the idea of clustering to solve a real-life task.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
LICENSE		LICENSE
README.md		README.md
clusters.png		clusters.png
hierarchical_clustering_demo.ipynb		hierarchical_clustering_demo.ipynb
kmeans_clustering_demo.ipynb		kmeans_clustering_demo.ipynb
locations.png		locations.png
stop_words.txt		stop_words.txt
store_locations_lab.ipynb		store_locations_lab.ipynb
titles.txt		titles.txt

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