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Books > Computing & IT > Applications of computing > Artificial intelligence
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A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications (Paperback, 2013 ed.)
Loot Price: R3,581
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A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications (Paperback, 2013 ed.)
Series: Studies in Fuzziness and Soft Computing, 297
Expected to ship within 10 - 15 working days
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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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