## Chapter 6. Data Analysis – Clustering

Clustering is the process of trying to make groups of objects that are more similar to each other than objects in other groups. Clustering is also called cluster analysis.

R has several tools to cluster your data (which we will investigate in this chapter):

K-means, including optimal number of clusters

Partitioning Around Medoids (PAM)

Bayesian hierarchical clustering

Affinity propagation clustering

Computing a gap statistic to estimate the number of clusters

Hierarchical clustering