Summary
Congratulations on completing the second chapter on clustering techniques! With this, we've covered all the major clustering techniques, including k-modes, DBSCAN, and both types of hierarchical clustering, and we've also looked at what connects them. We can apply these techniques to any type of dataset we may encounter. These new methods, at times, also produced better results on the same dataset that we used in the first chapter. In the next chapter, we're going to study probability distributions and their uses in exploratory data analysis.
