Stability measures, a special version of internal measures, which evaluates the consistency of a clustering result by comparing it with the clusters obtained after each column is removed, one at a time.
The APN measures the average proportion of observations not placed in the same cluster by clustering based on the full data and clustering based on the data with a single column removed.
The average distance (AD)
The AD measures the average distance between observations placed in the same cluster under both cases (full data set and removal of one column).
The average distance between means (ADM)
The ADM measures the average distance between cluster centers for observations placed in the same cluster under both cases.
The figure of merit (FOM)
The FOM measures the average intra-cluster variance of the deleted column, where the clustering is based on the remaining (undeleted) columns.
The APN, AD, and ADM are all based on the cross-classification table of the original clustering on the full data with the clustering based on the removal of one column.
Rule to judge:
The values of APN, ADM and FOM ranges from 0 to 1, with smaller value corresponding with highly consistent clustering results. AD has a value between 0 and infinity, and smaller values are also preferred.
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