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A Two-Stage Clustering Algorithm with Robust Recovery Characteristics

The Ohio State University

Lisa M. Sokol

The Ohio State University

Two FORTRAN IV computer programs for a two-stage clustering algorithm with robust recovery characteristics are described. In Stage 1, a group average hierarchical algorithm generates cluster centroids which are used as starting seed points for Stage 2, Jancey's k-means nonhierarchical algorithm. Also available with the hierarchical algorithm is a hypothesis test procedure which can be used to determine whether significant cluster structure exists in the data.

Educational and Psychological Measurement, Vol. 40, No. 3, 755-759 (1980)
DOI: 10.1177/001316448004000320


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