FUZZY CLUSTERING DALAM PENGCLUSTERAN DATA CURAH HUJAN KOTA BENGKULU DENGAN ALGORITMA C-MEANS
Abstrak: This study was
conducted to design Clustering using Fuzzy C - Means algorithm rainfall data in
the city of Bengkulu and evaluate performance C - Means Algorithm to generate
the level of location accuracy in forecasting monthly rainfall Climatological
Station Island Baai Bengkulu . The analyzed using C - Means algorithm in which
the testing is done using matlab software. From the test using a software
assisted SOCR test results obtained by using Fuzzy C - Means for clustering
data based on the degree of membership that the resulting cluster centers in
reaching target function looking for the best location for the clusters can be
done faster as indicated by termination of the iteration process. The output of
the fuzzy C - Means is not a Fuzzy Inference System , but a row of cluster
centers and some degree of membership for each data point.
Penulis: Herlina Latipa Sari
Kode Jurnal: jptkomputerdd140315