Open AccessAPLIKASI FUZZY c-MEANS CLUSTERINGUNTUK MENGELOMPOKKAN DATA GEMPABUMI DI PROVINSI BENGKULU
Author(s) -
Nur Afandi
Publication year - 2017
Publication title -
eksakta
Language(s) - English
Resource type - Journals
eISSN - 2549-7464
pISSN - 1411-3724
DOI - 10.24036/eksakta/vol18-iss02/66
Subject(s) - cluster analysis , silhouette , fuzzy clustering , cluster (spacecraft) , computer science , k medians clustering , pattern recognition (psychology) , single linkage clustering , index (typography) , flame clustering , data mining , mathematics , cure data clustering algorithm , artificial intelligence , world wide web , programming language
This study aims to cluster earthquake events in Bengkulu Province and describe the characteristics of each group based on clustering results. The method used is Fuzzy c-Means Clustering. The clustering results show that although clustering is formed based on the location of latitude, longitude, and depth, the data is only clumped by depth. Based on the XB index and the Silhouette index the three best clustering sequences are clustering using 2 clusters, 5 clusters, 8 clusters.