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On characterizing optimization-based clustering methods

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Abstract

This paper suggests a simplification of a recent approach suggested by Windham to characterizing optimization-based clustering methods. The simplification is based on noting an analogy between certain quantities in Windham's formulation and corresponding quantities in mathematical statistics, particularly sufficient statistics and the exponential family of densities.

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References

  • WINDHAM, M.P. (1986), “A Unification of Optimization-Based Clustering Algorithms,” inClassification as a Tool of Research, eds. W. Gaul and M. Schader, Amsterdam: North Holland, 447–451.

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  • WINDHAM, M.P. (1987), “Parameter Modification for Clustering,”Journal of Classification, 4, 191–214.

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Authors and Affiliations

  1. Graduate School of Business Administration, University of Colorado at Denver, 1475 Lawrence Street, 80202, Denver, CO, USA

    Peter Bryant

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  1. Peter Bryant
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He thanks an anonymous referee for several helpful comments.

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Bryant, P. On characterizing optimization-based clustering methods. Journal of Classification 5, 81–84 (1988). https://doi.org/10.1007/BF01901672

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  • DOI: https://doi.org/10.1007/BF01901672

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