Fuzzy clustering models and applications

著者

書誌事項

Fuzzy clustering models and applications

Mika Sato, Yoshiharu Sato, Lakhmi C. Jain

(Studies in fuzziness and soft computing, v. 9)

Physica-Verlag, c1997

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注記

Includes bibliographical references (p. 117-122)

内容説明・目次

内容説明

This book presents our most recent research on fuzzy clustering models and applications. These models represent new methods in the field of cluster analysis which are based on common properties between objects to be clustered. We present asymmetric aggregation operators as a new concept for representing asymmetric relationship between objects. Asymmetric aggregation operators are proposed in order to obtain clusters in which objects are not only similar to each other but are also asymetrically related. Implementation of clustering model by using neural networks is also presented. A number of examples are presented to demonstrate the proposed new techniques. This book will prove useful to the researchers, scientists, engineers and postgraduate students in all the areas including science, engineering and business.

目次

Contents: Introduction to Fuzzy Clustering.- Fuzzy Clustering for 3-way Data.- Additive Clustering Models.- General Fuzzy Clustering Model Using Aggregation Operators.- Fuzzy Clustering for Asymmetric Similarity.

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詳細情報

  • NII書誌ID(NCID)
    BA32516029
  • ISBN
    • 3790810266
  • LCCN
    97021400
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    New York ; Heidelberg
  • ページ数/冊数
    ix, 122 p.
  • 大きさ
    25 cm
  • 分類
  • 件名
  • 親書誌ID
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