Comparison Approaches of the Fuzzy C-Means and Gaussian Mixture Model in Clustering the Welfare of the Indonesian People

We compared the previous study about clustering welfare of Indonesian people using Fuzzy C-Means (FCM) approach to a recent study, Gaussian mixture model (GMM). Both which were soft clustering. The case analyzes by classifying 34 provincial data in Indonesia, based on eight indicator variables 2017, Central Statistics Agency had issued. FCM and GMM approaches determine better level accuracy Silhouette index, Davies-Bouldin Calinski-Harabasz index values as validity test method. methods found that optimal clusters 2 6. When we observed consistency three tests’ results, method was preferable method.
 Keywords: fuzzy, model,