Studies in Fuzziness and Soft Computing

A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications

Authors: Viattchenin, Dmitri A.

  • Offers an interesting and original perspective on possibilistic clustering and uncertain data processing
  • Features a well-balanced material and a down-to-the earth exposition
  • Represents an important contribution to the rapidly growing body of knowledge in contemporary data analysis
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  • ISBN 978-3-642-35536-3
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About this book

The present book outlines a new approach to possibilistic clustering in which the sought clustering structure of the set of objects is based directly on the formal definition of fuzzy cluster and the possibilistic memberships are determined directly from the values of the pairwise similarity of objects.   The proposed approach can be used for solving different classification problems. Here, some techniques that might be useful at this purpose are outlined, including a methodology for constructing a set of labeled objects for a semi-supervised clustering algorithm, a methodology for reducing analyzed attribute space dimensionality and a methods for asymmetric data processing. Moreover,  a technique for constructing a subset of the most appropriate alternatives for a set of weak fuzzy preference relations, which are defined on a universe of alternatives, is described in detail, and a method for rapidly prototyping the Mamdani’s fuzzy inference systems is introduced. This book addresses engineers, scientists, professors, students and post-graduate students, who are interested in and work with fuzzy clustering and its applications

Table of contents (4 chapters)

  • Introduction

    Viattchenin, Dmitri A.

    Pages 1-58

  • Heuristic Algorithms of Possibilistic Clustering

    Viattchenin, Dmitri A.

    Pages 59-118

  • Clustering Approaches for Uncertain Data

    Viattchenin, Dmitri A.

    Pages 119-182

  • Applications of Heuristic Algorithms of Possibilistic Clustering

    Viattchenin, Dmitri A.

    Pages 183-218

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-642-35536-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-642-35535-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-3-642-44301-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
297
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-35536-3
DOI
10.1007/978-3-642-35536-3
Hardcover ISBN
978-3-642-35535-6
Softcover ISBN
978-3-642-44301-5
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XII, 227
Topics