Hierarchical Clustering层次聚类

Hierarchical Clustering
Hierarchical Clustering is a clustering algorithm that iteratively partitions the instances into clusters either using a bottom-up (Agglomerative) or top-down (Divisive) approach. Agglomerative Hierarchical Clustering (AHC) initially considers each instance as a cluster, and then the clusters are recursively merged until the desired number of clusters is achieved, or all clusters are merged into one cluster. In contrast, Divisive Hierarchical Clustering (DHC) initially merges all instances into a single cluster, and then the clusters are iteratively divided into sub-clusters until the desired number of clusters is achieved.