MULTIPLE CLUSTERS, TYPES, AND DIMENSIONS FROM ITERATIVE INTERCOLUMNAR CORRELATIONAL ANALYSIS
- 1 October 1968
- journal article
- Published by Taylor & Francis in Multivariate Behavioral Research
- Vol. 3 (4) , 465-477
- https://doi.org/10.1207/s15327906mbr0304_6
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.Keywords
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