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Clustering of symbolic objects using gravitational approach.

Clustering of symbolic objects using gravitational approach. Research Abstract Details 

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  • Clustering of symbolic objects using gravitational approach. Abstract Text:

    t v raviT V Ravi,k c gowdaK C Gowda,

    Most of the techniques used in the literature in clustering symbolic data are based on the hierarchical methodology, which uses the concept of agglomeration or division as the core of the algorithm. The main contribution of this paper is to formulate a clustering algorithm for symbolic objects based on the gravitational approach. The proposed procedure is based on the physical phenomenon in which a system of particles in space converge to the centroid of the system due to gravitational attraction between the particles. Some pairs of samples called mutual pairs, which have a tendency to gravitate toward each other, are discerned at each stage of this multistage scheme. The notions of cluster coglomerate strength and global coglomerate strength are used for accomplishing or abandoning the process of merging a mutual pair. The methodology forms composite symbolic objects whenever two symbolic objects are merged. The process of merging at each stage, reduces the number of samples that are available for consideration. The procedure terminates at some stage where there are no more mutual pairs available for merging. The efficacy of the proposed methodology is examined by applying it on numeric data and also on data sets drawn from the domain of fat oil, microcomputers, microprocessors, and botany. A detailed comparative study is carried out with other methods and the results are presented.

    Clustering of symbolic objects using gravitational approach. Publishing Authors By Initials

    tv raviTV Ravi,kc gowdaKC Gowda,

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    MEDLINE DATE:

    Clustering of symbolic objects using gravitational approach. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: IEEE transactions on systems, man, and cybernetics

    VOLUME: 29

    Page Numbers: 888-94

    Journal Abbreviation:

    ISSN: 1083-4419

    DAY: 6

    MONTH: 02

    YEAR: 1999

    Clustering of symbolic objects using gravitational approach. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9890044

    Clustering of symbolic objects using gravitational approach. Keywords Mesh Terms:

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    Grant and Affiliation Information for Clustering of symbolic objects using gravitational approach.

    AFFILIATION: IBM Solutions Res. Center, Indian Inst. of Technol., New Delhi.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: IEEE Trans Syst Man Cybern B C

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