MULTIPLE CLUSTERS, TYPES, AND DIMENSIONS FROM ITERATIVE INTERCOLUMNAR CORRELATIONAL ANALYSIS
Multivariate Behavioral Research
|January 30, 2016
Abstract:
This paper extends Intercolumnar Correlational Analysis from a single, hierarchical, classification method to a multiple, hierarchical, classification method. Some advantages of the method over most other methods are: (a) it builds hierarchical classifications from the top down and thus uses all indices of every matrix or submatrix in all decisions, and (b) it provides a comprehensive base for defining the major patterns of the first hierarchical system.
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