A Proposal of an Extended Model of ADCLUS Model

  • Tadashi Imaizumi
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


This paper presents an extended model of ADCLUS model as a model for overlapping clustering. It is assumed that a degree of the belongings of each object to a cluster is represented as a binary random variable, and similarity between two objects is defined by a weighted expectation of a cross product of these variables. The problems on the visualization of the results is also discussed. An extension of the proposed model to a two-mode, two-way data is also described.


Extended Model Space Structure Latent Class Model Binary Random Variable Morse Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Arabie, P. and Carroll, J. D. (1980): MAPCLUS: a mathematical programming approach to fitting the ADCLUS model Psychometrika, 45, 211–235.MATHGoogle Scholar
  2. Arabie, P. and Hubert, L. J. (1992): Combinatorial Data Analysis. Annual Review of Psychology, 43, 169–203.CrossRefGoogle Scholar
  3. Carroll, J. D. and Arabie, P. (1983): LNDCLUS: An individual differences generalization of the ADCLUS model and the MAPCLUS algorithm Psychometrika, 48, 157–169.Google Scholar
  4. Rothkopt, E. Z. (1957): A measurement of stimulus similarity ans errors in some paired-associate learning tasks. Journal of Experimental Psychology, 53 94–101.CrossRefGoogle Scholar
  5. Soli, S. D., Arabie, P. and Carrol, J.D. (1986): Representation of descrete structure underlying observed confusions between consonant phonemes. Journal of the Acoustical Society of America, 79, 826–837CrossRefGoogle Scholar
  6. Shepard, R.N., and Arabie, P. (1979): Additive Clustering Representation of Similaritiesas as Combinations of Descrete Overlapping Properties. Psychological Review, 86, 87–123.Google Scholar

Copyright information

© Springer Japan 1998

Authors and Affiliations

  • Tadashi Imaizumi
    • 1
  1. 1.Department of Management and Information SciencesTama UniversityTama-shi,Tokyo 206Japan

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