July 2020
Intermediate to advanced
550 pages
9h 58m
English
Overview
In this chapter, we will implement the hierarchical clustering algorithm from scratch using common Python packages and perform agglomerative clustering. We will also compare k-means with hierarchical clustering. We will use hierarchical clustering to build stronger groupings that make more logical sense. By the end of this chapter, we will be able to use hierarchical clustering to build stronger groupings that make more logical sense.
In this chapter, we will expand on the basic ideas that we built in Chapter 1, Introduction to Clustering, by surrounding clustering with the concept of similarity. Once again, we will be implementing forms of the Euclidean distance to capture the notion of ...