AIML.com

Machine Learning Resources

What are some of the possible linkage types to use in order to form successive clusters?

  • Ward: The Ward linkage forms successive clusters by finding the clusters that minimize the increase in within-cluster variance at each step. It is the default option in sklearn’s hierarchical clustering API. 
  • Single: The next cluster is formed by merging the observation that has the shortest minimum distance to an existing cluster. 
  • Complete: The next cluster is formed by merging the observation that has the shortest maximum distance to an existing cluster. 
  • Average: The next cluster is formed by merging the observation with the shortest average distance to an existing cluster. 

Note: In divisive clustering, clusters are formed by dividing existing clusters that maximize the choice of linkage, essentially working inversely to what was described for each option. 

Find out all the ways
that you can