INCLUS (Individual Differences Clustering) - A Three-Way Approach to Clustering (From Blockmodel Techniques for Criminal Justice Research - Final Report, Appendix H, 1981, by Phipps Arabie - See NCJ-88432)

• NCJ Number: 88438
• Author(s): J D Carroll; P Arabie
• Date Published: 1981
• Length: 8 pages
• Grant Number(s): 78-NI-AX-0142; SOC 76-24394; SOC 76-24512
• Sponsoring Agency: National Science Foundation; National Institute of Justice (NIJ); US Dept of Justice NIJ Pub
• Publication Format: Article
• Publication Type: Report (Study/Research)
• Language: English
• Country: United States of America

Annotation

The paper presents a three-way generalization of the Arabie-Carroll MAPCLUS (MAthematical Programming CLUStering) algorithm for fitting an individual differences version of the Shepard-Arabie (1979) ADCLUS (ADditive CLUStering) model.

Abstract

The ADCLUS model predicts interstimulus similarity. Arabie and Carroll have devised a mathematical programming approach (MAPCLUS) with an alternating least squares technique for fitting the ADCLUS model. INDCLUS (INdividual Differences CLUStering) is a generalization of MAPCLUS and is used for fitting a particular model. After discussing this model, the paper provides an illustrative fit of INDCLUS, using data from Rosenberg and Kim (1975). Equations and five references are included. (Author abstract modified)