Computer programs for performing iterative partitioning cluster analysis

Abstract

Eight programs which perform iterative partitioning cluster analysis are analyzed; they are discussed in terms of versatility of options, accuracy, and cost. These eight programs contain very different heuristic approaches to finding the optimal partition of a data set; the different heuristic approaches are shown to affect both accuracy and cost of clustering solutions. It was not possible to recommend any one program as generally being preferable, however, because of the striking variability in these programs and the lack of knowledge about iterative partitioning methods.