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Rough Fuzzy Clustering Using Decision Theory

Rough Fuzzy Clustering Using Decision Theory

von Ammisetty Veeraswamy
Softcover - 9783659297205
49,00 €
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Beschreibung

Clustering is the unsupervised classification of patterns into groups. In non-fuzzy or hard clustering, data is divided into crisp clusters, where each data point belongs to exactly one cluster. In fuzzy clustering, the data points can belong to more than one cluster, and associated with each of the points are membership grades which indicate the degree to which the data points belong to the different clusters. Different clustering algorithms produce clusters with different characteristics. In this Book specifies the Clustering techniques using decision theory.

A Data mining Approach

Details

Verlag LAP LAMBERT Academic Publishing
Ersterscheinung 08. November 2012
Maße 22 cm x 15 cm x 0.7 cm
Gewicht 167 Gramm
Format Softcover
ISBN-13 9783659297205
Seiten 100