Informasi Detil Paper


Judul: Aplikasi Fuzzy C-Means Untuk Pengklasteran Kelayakan Rumah di Desa Wayame, Ambon
Penulis: R. P. A. Sormin, F. Y. Rumlawang & L. J. Sinay  || email: info@mx.unpatti.ac.id
Jurnal: Barekeng Vol. 9 no. 2 - hal. 135-146 Tahun 2015  [ MIPA ]
Keywords:  C-means, clustering, fuzzy, feasibility.
Abstract: Clustering is a process of organizing objects into groups whose members are similar in a cluster but different with members of other cluster. Fuzzy C-Means Algorithm is a data clustering technique in which a dataset is grouped into clusters with every data point in the data sets belonging to every cluster to a certain degree. In this research Fuzzy C-Means Algorithm is used to determine house feasibility. The result shows that there are many houses which are not feasible and need to get more attention.
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