Clustering

Machine Learning

Unsupervised Learning

January 16, 2021

Discuss the various linkage methods for clustering.

Following are the methods of linkage used by Hierarchical clustering algorithm:

  1. Single Linkage: It is a distance based criteria and measures minimum pairwise distance.
  2. Complete Linkage: It is a distance based criteria and measures maximum pairwise distance.
  3. Centroid Linkage: It is a distance based criteria and measures distance between centroids.
  4. Ward’s Linkage: It is a cluster similarity based criteria and measures distance between centroids.

by : Monis Khan

Quick Summary:

Following are the methods of linkage used by Hierarchical clustering algorithm: Single Linkage: It is a distance based criteria and measures minimum pairwise distance. Complete Linkage: It is a distance based criteria and measures maximum pairwise distance. Centroid Linkage: It is a distance based criteria and measures distance between centroids. Ward’s Linkage: It is a […]