Hierarchical Clustering
Learn about hierarchical clustering via the agglomerative approach.
We'll cover the following...
Chapter Goals:
- Learn about hierarchical clustering using the agglomerative approach
A. K-means vs. hierarchical clustering
A major assumption that the K-means clustering algorithm makes is that the dataset consists of spherical (i.e. circular) clusters. With this assumption, the K-means algorithm will create clusters of data observations that are circular around the centroids. However, real life data often does not ...