A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications

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 obje...

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Main Author: Viattchenin, Dmitri A. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Studies in Fuzziness and Soft Computing,
Subjects:
Online Access:https://doi.org/10.1007/978-3-642-35536-3
Table of Contents:
  • Introduction
  • Heuristic Algorithms of Possibilistic Clustering
  • Clustering Approaches for the Uncertain Data
  • Applications of the Heuristic Algorithms of Possibilistic Clustering.