A Heuristic Approach to Possibilistic Clustering Algorithms and Applications is popular PDF and ePub book, written by Dmitri A. Viattchenin in 2013-04-19, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, A Heuristic Approach to Possibilistic Clustering Algorithms and Applications can be Read Online from any device for your convenience.
A Heuristic Approach to Possibilistic Clustering Algorithms and Applications Book PDF Summary
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
Detail Book of A Heuristic Approach to Possibilistic Clustering Algorithms and Applications PDF
- Author : Dmitri A. Viattchenin
- Release : 19 April 2013
- Publisher : Springer
- ISBN : 3642355374
- Genre : Computers
- Total Page : 227 pages
- Language : English
- PDF File Size : 12,8 Mb
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