Summary

Congratulations! You have completed the first chapter of this book. If you've understood everything we've studied until now, you now know more about unsupervised learning than most people who claim to know data science. The k-means clustering algorithm is so fundamental to unsupervised learning that many people equate k-means clustering with unsupervised learning.

In this chapter, you not only learned about k-means clustering and its uses, but also k-medoids clustering, along with various clustering metrics and their uses. So, now you have a top-tier understanding of k-means and k-medoid clustering algorithms.

In the next chapter, we're going to have a look at some of the lesser-known clustering algorithms and their uses.