A Heuristic Approach to Possibilistic Cl
β Dmitri A. Viattchenin
π Library
π
2013
π Springer
π English
β¦ LIBER β¦
π
A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
β Scribed by Dmitri A. Viattchenin (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2013
- Tongue
- English
- Leaves
- 238
- Series
- Studies in Fuzziness and Soft Computing 297
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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 Mamdaniβs 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
β¦ Table of Contents
Front Matter....Pages 1-10
Introduction....Pages 1-58
Heuristic Algorithms of Possibilistic Clustering....Pages 59-118
Clustering Approaches for Uncertain Data....Pages 119-182
Applications of Heuristic Algorithms of Possibilistic Clustering....Pages 183-218
Back Matter....Pages 219-227
β¦ Subjects
Computational Intelligence; Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics)
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