Deep Dive into Clustering: The k-Means algorithm and choosing the number of clusters

Comparing 4 clustering metrics from Daniel Capellupo, PhD

Original Blog Post: Deep Dive into Clustering: The k-Means algorithm and choosing the number of clusters
Authors: Daniel Capellupo, PhD
Published: 2021-02-10

My summary:

This post goes through several examples of using k-Means clustering, and four different clustering metrics / techniques that can aide in choosing the best / ideal number of clusters.

There is also a Jupyter notebook available with all the code used for generating the examples in this blog post.

Here is the link again to their blog post for more details: Deep Dive into Clustering: The k-Means algorithm and choosing the number of clusters