Hierarchical Clustering

Build a hierarchy of clusters using agglomerative (bottom-up) approach. Watch points merge step by step based on linkage criteria.

Dataset

How It Works

Hierarchical Clustering creates a hierarchy of clusters:

Clustering Types:

  • Agglomerative (Bottom-up): Start with each point as a cluster, merge closest pairs
  • Divisive (Top-down): Start with one cluster, recursively split into smaller ones

Linkage Types:

  • Single: Min distance
  • Complete: Max distance
  • Average: Mean distance