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