Titlebook: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications; Dmitri A. Viattchenin Book 2013 Springer-Verlag Berlin Heid

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Book 2013 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 ar

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1434-9922 nd a down-to-the earth exposition.Represents an important co.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 determine

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Zheng Xiao,Yang Guo,Gang Liu,Jiayi Duation stipulating that a similarity degree of the elements of the fuzzy subset is not less than some threshold value. The condition stated above is a conceptual basis for the proposed approach to clustering which will be described in detail in this chapter.

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Zheng Xiao,Yang Guo,Gang Liu,Jiayi Dueveals its internal structure. Clustering methods are also called automatic classification methods and numerical taxonomy methods. Heuristic, hierarchical, optimization and approximation methods are main approaches to cluster analysis.

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