Cluster Standard Deviations

Cluster Means

Cluster Summary

Prior Dist

Max Dist

Count

Cluster

Step

A cluster was dropped

Reducing number of clusters

Specify Number of Clusters

K-Means Clustering Control



N of Clusters...

Help

Step

Go



Use within-cluster std deviations

Shift distances using sampling rates

Color while clustering

Standardize data by Std Dev

Cluster: combine clusters

Cluster: calculate distances

Not enough non-missing data

 Memory needs increase as nrow-squared, and time as nrow-cubed.

Cluster is very expensive for many rows.

Dendogram

Joiner

Leader

Distance

Number of Clusters

Clustering History





Complete

Single

Ward

Centroid

Average

Hierarchical Clustering, Method =

Cluster

Clustering