TOWARDS FINDING A NEW KERNELIZED FUZZY C-MEANS CLUSTERING ALGORITHM

TOWARDS FINDING A NEW KERNELIZED FUZZY C-MEANS CLUSTERING ALGORITHM

Kernelized Fuzzy C-Means clustering technique is an attempt to improve the performance of the conventional Fuzzy C-Means clustering technique. Recently this technique where a kernel-induced distance function is used as a similarity measure instead of a Euclidean distance which is used in the c...

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Bibliographic Details
Main Authors: Samarjit Das, Hemanta K. Baruah
Format: Article
Language:English
Published: Faculty of Applied Management, Economics and Finance – MEF, Belgrade, University Business Academy in Novi Sad 2014-04-01
Series:Journal of Process Management and New Technologies
Subjects:
Kernelized Fuzzy C-Means clustering technique
Subtractive clustering technique
randomly initialized membership values
Partition Coefficient
Clustering Entropy
Online Access:http://www.japmnt.com/images/Volume%202/Issue%202/TOWARDS%20FINDING%20A%20NEW%20KERNELIZED%20FUZZY%20C.pdf

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