Cluster Analysis and K Means Clustering

This chapter discusses the concept of cluster analysis and the K means clustering approach. It covers variables involved in cluster analysis, finding a good metric for similarity, and the process of assigning units to clusters and updating cluster centers. It also emphasizes the importance of finding the right balance in the number and size of clusters and highlights different clustering algorithms and their applications.