Fuzzy Clustering Models and Applications
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Beschreibung
This book presents our most recent research on fuzzy clustering models and applications. These models represent new methods in the field of cluster analysis which are based on common properties between objects to be clustered. We present asymmetric aggregation operators as a new concept for representing asymmetric relationship between objects. Asymmetric aggregation operators are proposed in order to obtain clusters in which objects are not only similar to each other but are also asymetrically related. Implementation of clustering model by using neural networks is also presented. A number of examples are presented to demonstrate the proposed new techniques. This book will prove useful to the researchers, scientists, engineers and postgraduate students in all the areas including science, engineering and business.
Autor*in
Mika Sato
Themen in »Fuzzy Clustering Models and Applications«
Cluster-Analyse Datenanalyse Neuronale Netze cluster analysis clustering method data analysis fuzzy logic logic network networks neural networks neutral networks soft computing