Pattern clustering with statistical methods using a DNA-based algorithm

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

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article number6208882
    Pages (from-to)100-110
    Number of pages11
    JournalIEEE Transactions on Nanobioscience
    Volume11
    Issue number2
    DOIs
    Publication statusPublished - 2012

    Fingerprint

    Cluster Analysis
    Statistical methods
    DNA
    Information granules
    Computational complexity

    Keywords

    • DNA-based algorithm
    • ordering method
    • pattern clustering
    • splicing operation
    • statistical method

    ASJC Scopus subject areas

    • Pharmaceutical Science
    • Medicine (miscellaneous)
    • Bioengineering
    • Computer Science Applications
    • Biotechnology
    • Biomedical Engineering
    • Electrical and Electronic Engineering

    Cite this

    Pattern clustering with statistical methods using a DNA-based algorithm. / Kim, Ikno; Watada, Junzo; Pedrycz, Witold; Wu, Jui Yu.

    In: IEEE Transactions on Nanobioscience, Vol. 11, No. 2, 6208882, 2012, p. 100-110.

    Research output: Contribution to journalArticle

    Kim, Ikno ; Watada, Junzo ; Pedrycz, Witold ; Wu, Jui Yu. / Pattern clustering with statistical methods using a DNA-based algorithm. In: IEEE Transactions on Nanobioscience. 2012 ; Vol. 11, No. 2. pp. 100-110.
    @article{d2d2856459d140a498238e88b7c3b2b5,
    title = "Pattern clustering with statistical methods using a DNA-based algorithm",
    abstract = "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.",
    keywords = "DNA-based algorithm, ordering method, pattern clustering, splicing operation, statistical method",
    author = "Ikno Kim and Junzo Watada and Witold Pedrycz and Wu, {Jui Yu}",
    year = "2012",
    doi = "10.1109/TNB.2012.2190618",
    language = "English",
    volume = "11",
    pages = "100--110",
    journal = "IEEE Transactions on Nanobioscience",
    issn = "1536-1241",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    number = "2",

    }

    TY - JOUR

    T1 - Pattern clustering with statistical methods using a DNA-based algorithm

    AU - Kim, Ikno

    AU - Watada, Junzo

    AU - Pedrycz, Witold

    AU - Wu, Jui Yu

    PY - 2012

    Y1 - 2012

    N2 - 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.

    AB - 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.

    KW - DNA-based algorithm

    KW - ordering method

    KW - pattern clustering

    KW - splicing operation

    KW - statistical method

    UR - http://www.scopus.com/inward/record.url?scp=84861946771&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84861946771&partnerID=8YFLogxK

    U2 - 10.1109/TNB.2012.2190618

    DO - 10.1109/TNB.2012.2190618

    M3 - Article

    VL - 11

    SP - 100

    EP - 110

    JO - IEEE Transactions on Nanobioscience

    JF - IEEE Transactions on Nanobioscience

    SN - 1536-1241

    IS - 2

    M1 - 6208882

    ER -