mk:wsc5a

Summary

Robust clustering by evolutionary computation. Wolfgang von der Gablentz, Mario Köppen and Evgenia Dimitriadou. In Proceedings of the 5th On-line World Conference on Soft Computing in Industrial Applications (CD-ROM), 2000.

Abstract

In this paper we present a scheme driven by evolutionary computation to overcome the problem of comparing clustering results. The clustering results are achieved by qualitatively different clustering algorithms, which produce different partitionings. Our scheme helps us to overcome these problems of algorithms by generating clustering ones and selecting the best evaluated to evolve in another generation until the whole procedure reaches a robust result.

Bibtex entry

@INPROCEEDINGS { mk:wsc5a,
    ABSTRACT = { In this paper we present a scheme driven by evolutionary computation to overcome the problem of comparing clustering results. The clustering results are achieved by qualitatively different clustering algorithms, which produce different partitionings. Our scheme helps us to overcome these problems of algorithms by generating clustering ones and selecting the best evaluated to evolve in another generation until the whole procedure reaches a robust result. },
    AUTHOR = { Wolfgang von der Gablentz and Mario Köppen and Evgenia Dimitriadou },
    BOOKTITLE = { Proceedings of the 5th On-line World Conference on Soft Computing in Industrial Applications (CD-ROM) },
    MODIFIED = { 2008-02-28 16:06:20 +0900 },
    HASABSTRACT = { Yes },
    PDF = { wsc5a.pdf },
    TITLE = { Robust clustering by evolutionary computation },
    YEAR = { 2000 },
}

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News

Next conferences COMPSAC 2014 (Vasteras, Sweden, July 2014), INCoS-2014 (Salerno, Italy, September 2014).

New edited book "Soft Computing in Industrial Applications", V. Snasel, P. Kroemer, M. Koeppen, G. Schaefer, Springer AISC 223, July 2013.