Open AccessCluster Validity Index to Determine the Optimal Number Clusters of Fuzzy Clustering for Classify Customer Buying Behavior
Author(s) -
I Dewa Made Widia,
Salnan Ratih Asriningtias,
Sovia Rosalin
Publication year - 2021
Publication title -
journal of development research
Language(s) - English
Resource type - Journals
eISSN - 2579-9347
pISSN - 2579-9290
DOI - 10.28926/jdr.v5i1.134
Subject(s) - cluster analysis , cluster (spacecraft) , index (typography) , fuzzy clustering , fuzzy logic , data mining , similarity (geometry) , variance (accounting) , determining the number of clusters in a data set , mathematics , value (mathematics) , computer science , statistics , artificial intelligence , business , cure data clustering algorithm , accounting , world wide web , image (mathematics) , programming language
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