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Rough Fuzzy Clustering Using Decision Theory

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description
 

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.

Product Specifications
SKU :COC17978
AuthorHamed Amiri
LanguageEnglish
BindingPaperback
Number of Pages104
Publishing Year2012-08-11T00:00:00.000
ISBN978-3659297205
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-27 00:00:00