The implementation of a hybrid fuzzy clustering on the public health facility data

Abstract

The government has responsible to make a better life of their society in various aspects of life including a standard level of society public. The research aims to implement combining two fuzzy clustering methods that are Fuzzy Subtractive Clustering and Fuzzy C-Means for clustering public health facility data. The hybrid method can result in the cluster more compactness and more homogenous in membership degree accessed bases on Partition coefficient (PC), Classification Entropy (CE), and Modified of PC and CE (MPC) of cluster validity index.