Pattern clustering with statistical methods using a DNA-based algorithm

Ikno Kim*, Junzo Watada, Witold Pedrycz, Jui Yu Wu

*この研究の対応する著者

    研究成果査読

    4 被引用数 (Scopus)

    抄録

    Clustering is commonly exploited in engineering, management, and science fields with the objective of revealing structure in pattern data sets. In this article, through clustering we construct meaningful collections of information granules (clusters). Although the underlying goal is obvious, its realization is fully challenging. Given their nature, clustering is a well-known NP-complete problem. The existing algorithms commonly produce some suboptimal solutions. As a vehicle of pattern clustering, we discuss in this article how to use a DNA-based algorithm. We also discuss the details of encoding being used here with statistical methods combined with the DNA-based algorithm for pattern clustering.

    本文言語English
    論文番号6208882
    ページ(範囲)100-110
    ページ数11
    ジャーナルIEEE Transactions on Nanobioscience
    11
    2
    DOI
    出版ステータスPublished - 2012

    ASJC Scopus subject areas

    • 薬科学
    • 医学(その他)
    • バイオエンジニアリング
    • コンピュータ サイエンスの応用
    • バイオテクノロジー
    • 生体医工学
    • 電子工学および電気工学

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