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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
KD Mapro
2014-01-01
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Series: | Journal of Process Management. New Technologies |
Subjects: | |
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 |