14.10 - Summary

In this lesson we learned about:

  • Methods for measuring distances or similarities between subjects
  • Linkage methods for measuring the distances between clusters
  • The difference between agglomerative and divisive clustering
  • How to interpret tree diagrams and select how many clusters are of interest
  • How to use individual ANOVAs and cluster means to describe cluster composition
  • The definition of Ward's method
  • The definition of the K-means method