Cluster Analysis (page 2 of 6)

Two broad categories of cluster analyses are hierarchical and partition. Hierarchical clusters are nested or embedded groups (clusters) organized in a tree like structure. Partition clusters organize observations into non-overlapping groups (clusters) such that each observation is in only one group. We can combine methods. For instance, we might fit one subset of our data using a hierarchical cluster and fit a different subset using a partition-based clustering algorithm.