scholarly journals Improved cluster validity index for fuzzy clustering

2021 ◽  
Author(s):  
Soon Hak Kwon ◽  
Jihong Kim ◽  
Seo Ho Son
Keyword(s):  
Fuzzy Clustering ◽  
Cluster Validity ◽  
Cluster Validity Index ◽  
Validity Index

A New Cluster Validity Index for Fuzzy Clustering

2013 ◽  
Vol 46 (32) ◽  
pp. 325-330 ◽  
Author(s):  
Sreeram Joopudi ◽  
Suraj S Rathi ◽  
S. Narasimhan ◽  
Raghunathan Rengaswamy
Keyword(s):  
Fuzzy Clustering ◽  
Cluster Validity ◽  
Cluster Validity Index ◽  
Validity Index

A cluster validity index for fuzzy clustering

2010 ◽  
Vol 161 (23) ◽  
pp. 3014-3025 ◽  
Author(s):  
Babak Rezaee
Keyword(s):  
Fuzzy Clustering ◽  
Cluster Validity ◽  
Cluster Validity Index ◽  
Validity Index

scholarly journals Cluster Validity Index to Determine the Optimal Number Clusters of Fuzzy Clustering for Classify Customer Buying Behavior

2021 ◽  
Vol 5 (1) ◽  
pp. 7-12
Author(s):  
Salnan Ratih Asrriningtias
Keyword(s):  
Fuzzy Clustering ◽  
Optimal Number ◽  
Buying Behavior ◽  
Cluster Validity ◽  
Cluster Validity Index ◽  
Validity Index ◽  
Number Of Clusters ◽  
Best Value ◽  
Fuzzy Clustering Method ◽  
The Right

One of the strategies in order to compete in Batik  MSMEs  is to look at the characteristics of the customer. To make it easier to see the characteristics of  customer buying behavior, it is necessary to classify customers based on similarity of characteristics using fuzzy clustering. One of the parameters that must be determined at the beginning of the fuzzy clustering method is the number of clusters. Increasing the number of clusters does not guarantee the best performance, but the right number of clusters greatly affects the performance of fuzzy clustering. So to get optimal number cluster, we can measured the result of clustering in each number cluster using the cluster validity index. From several types of cluster validity index,  NPC give the best value. Optimal number cluster that obtained by the validity index is 2 and this number cluster give classify result with small variance value

A novel cluster validity index for fuzzy clustering based on bipartite modularity

2014 ◽  
Vol 253 ◽  
pp. 122-137 ◽  
Author(s):  
Dawei Zhang ◽  
Min Ji ◽  
Jun Yang ◽  
Yong Zhang ◽  
Fuding Xie
Keyword(s):  
Fuzzy Clustering ◽  
Cluster Validity ◽  
Cluster Validity Index ◽  
Validity Index

A cluster validity index for fuzzy clustering

2008 ◽  
Vol 178 (4) ◽  
pp. 1205-1218 ◽  
Author(s):  
Y ZHANG ◽  
W WANG ◽  
X ZHANG ◽  
Y LI
Keyword(s):  
Fuzzy Clustering ◽  
Cluster Validity ◽  
Cluster Validity Index ◽  
Validity Index
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