Description: Heuristic Approach to Possibilistic Clustering : Algorithms and Applications, Paperback by Viattchenin, Dmitri A., ISBN 364244301X, ISBN-13 9783642443015, Brand New, Free shipping in the US 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
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Book Title: Heuristic Approach to Possibilistic Clustering : Algorithms and A
Number of Pages: Xii, 227 Pages
Language: English
Publication Name: Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
Publisher: Springer Berlin / Heidelberg
Subject: Engineering (General), Probability & Statistics / Multivariate Analysis, Intelligence (Ai) & Semantics, Data Processing, Databases / Data Mining, Set Theory
Publication Year: 2015
Type: Textbook
Item Weight: 130.3 Oz
Author: Dmitri A. Viattchenin
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Item Width: 6.1 in
Series: Studies in Fuzziness and Soft Computing Ser.
Format: Trade Paperback
