IMPLEMENTASI FUZZY C–MEANS CLUSTERING (FCM) PADA PEMETAAN DAERAH POTENSI TRANSMIGRASI DI JAWA TIMUR

Implementasi Sistem Pengelolaan Proses Bisnis Mengacu Pada Mit Process Handbook

MIT Process Handbook offers a method of storage and retrieval of an organization's business processes. Business community or college students who take the topic of business processes can learn best-practice business processes contained in the MIT Process Handbook. Collection of business processes that are contained in the MIT Process Handbook only manage the business process description in text...

FCM: THE FUZZY c-MEANS CLUSTERING ALGORITHM

nThis paper transmits a FORTRAN-IV coding of the fuzzy c-means (FCM) clustering program. The FCM program is applicable to a wide variety of geostatistical data analysis problems. This program generates fuzzy partitions and prototypes for any set of numerical data. These partitions are useful for corroborating known substructures or suggesting substructure in unexplored data. The clustering crit...

A new ensemble clustering method based on fuzzy cmeans clustering while maintaining diversity in ensemble

An ensemble clustering has been considered as one of the research approaches in data mining, pattern recognition, machine learning and artificial intelligence over the last decade. In clustering, the combination first produces several bases clustering, and then, for their aggregation, a function is used to create a final cluster that is as similar as possible to all the cluster bundles. The inp...

Observations on the Worm Egg Counts and Their Nematode Species in Goats from the North-East District of Penang Island, Peninsular Malaysia

ABSTRAK Kiraan telur cadng dalam najis dan kehadiran spesis-spesis nematod pada kambing daripada tujuh kandang kambing yang kedl di daerah Timur Laut, Pulau Pinang telah dikaji. Secara amnya kiraan telur adalah tinggi, berjulat antara 500 2000 epg. Keadaan iklim didaerah ini adalah sesuai bagi kehidupan dan perkembangan sekurang-kurangnya lima spesis nematod iaitu Cooperia spp., Haemonchus spp....

Combining PSO and FCM for Dynamic Fuzzy Clustering Problems