# 14.10 - Summary

14.10 - SummaryIn 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