Cluster analysis is a multivariate analysis technique with the main purpose is to classify object... more Cluster analysis is a multivariate analysis technique with the main purpose is to classify objects into groups based on the characteristics observation. Clustering methods currently being developed is the method of grouping based on the fuzzy sets, also called as fuzzy clustering analysis. Various methods of fuzzyclustering analysis, such as Fuzzy C-Means Cluster (FCM) and Fuzzy C-Shell Cluster (FCS). FCM is developed based on c-means using fuzzy weighting, while the FCS applying geometric partition, in particular using the circle and ellipse shapes. While the optimum number of groups is obtained by the criteria of validity measure, mentioned as Xie and Beni index, while for the right method is used the ratio of standard deviation within the group against the standard deviation between groups. FCM and FCS will be applied to the grouping of districts/cities by using the variable forming the Human Development Index (HDI) in 2008 for the districts/cities on the island of Jawa. HDI forming variables, consisting of the life expectancy; literacy rates, mean years school, and the Purchasing Power Parity . The results obtained FCM method has optimum number of groups is six groups, and FCS method has optimum number of groups is four groups.
Cluster analysis is a multivariate analysis technique with the main purpose is to classify object... more Cluster analysis is a multivariate analysis technique with the main purpose is to classify objects into groups based on the characteristics observation. Clustering methods currently being developed is the method of grouping based on the fuzzy sets, also called as fuzzy clustering analysis. Various methods of fuzzyclustering analysis, such as Fuzzy C-Means Cluster (FCM) and Fuzzy C-Shell Cluster (FCS). FCM is developed based on c-means using fuzzy weighting, while the FCS applying geometric partition, in particular using the circle and ellipse shapes. While the optimum number of groups is obtained by the criteria of validity measure, mentioned as Xie and Beni index, while for the right method is used the ratio of standard deviation within the group against the standard deviation between groups. FCM and FCS will be applied to the grouping of districts/cities by using the variable forming the Human Development Index (HDI) in 2008 for the districts/cities on the island of Jawa. HDI forming variables, consisting of the life expectancy; literacy rates, mean years school, and the Purchasing Power Parity . The results obtained FCM method has optimum number of groups is six groups, and FCS method has optimum number of groups is four groups.
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