A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications 2013 Edition Contributor(s): Viattchenin, Dmitri A. (Author) |
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ISBN: 364244301X ISBN-13: 9783642443015 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: May 2015 |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Databases - Data Mining - Technology & Engineering | Engineering (general) |
Dewey: 006.3 |
Series: Studies in Fuzziness and Soft Computing |
Physical Information: 0.51" H x 6.14" W x 9.21" (0.75 lbs) 227 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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 |