AN APPROACH TO REMOVE THE EFFECT OF RANDOM INITIALIZATION FROM FUZZY C-MEANS CLUSTERING TECHNIQUE

AN APPROACH TO REMOVE THE EFFECT OF RANDOM INITIALIZATION FROM FUZZY C-MEANS CLUSTERING TECHNIQUE

Out of the different available fuzzy clustering techniques Bezdek’s Fuzzy C-Means clustering technique is among the most popular ones. Due to the random initialization of the membership values the performance of Fuzzy C-Means clustering technique varies significantly in its different executio...

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Bibliographic Details
Main Authors: Samarjit Das, Hemanta K. Baruah
Format: Article
Language:English
Published: KD Mapro 2014-01-01
Series:Journal of Process Management. New Technologies
Subjects:
Fuzzy C-Means Clustering Technique
Subtractive Clustering Technique
Online Access:http://www.japmnt.com/images/Volume%202/Issue%201/AN%20APPROACH%20TO%20REMOVE%20THE%20EFFECT%20OF%20RANDOM%20INITIALIZATION%20FROM%20FUZZY%20C-MEANS.pdf

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