Abstract
The paper presents an exposition of two data reduction methods widely used in the behavioral sciences and commonly referred to as the single-link and complete-link hierarchical clustering procedures. Major emphasis is placed on several statistical techniques for evaluating the adequacy of a completed partition hierarchy and, in particular, the individual partitions within the sequence. A numerical reanalysis of some previously published data is included as an illustration of the suggested methodology.
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