Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables

Wayne Desarbo, J. Douglas Carroll, Linda A. Clark, Paul E. Green

Research output: Contribution to journalArticlepeer-review

99 Scopus citations

Abstract

In the application of clustering methods to real world data sets, two problems frequently arise: (a) how can the various contributory variables in a specific battery be weighted so as to enhance some cluster structure that may be present, and (b) how can various alternative batteries be combined to produce a single clustering that "best" incorporates each contributory set. A new method is proposed (SYNCLUS, SYNthesized CLUStering) for dealing with these two problems.

Original languageEnglish (US)
Pages (from-to)57-78
Number of pages22
JournalPsychometrika
Volume49
Issue number1
DOIs
StatePublished - Mar 1 1984

All Science Journal Classification (ASJC) codes

  • Psychology(all)
  • Applied Mathematics

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