title: MULTIPLE CLUSTERS, TYPES, AND DIMENSIONS FROM ITERATIVE INTERCOLUMNAR CORRELATIONAL ANALYSIS.
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.
authors.forename: L L
authors.initials: LL
authors.lastname: McQUITTY