Nowadays, the Fuzzy C-Means method has become one of the most popular clustering methods based on minimization of a criterion function. However, the performance of this clustering algorithm may be significantly degraded in the presence of noise. This paper presents a robust clustering algorithm called Bilateral Weighted Fuzzy CMeans (BWFCM). We used a new objective function that uses some k...

this paper presents an efficient hybrid method, namely fuzzy particleswarm optimization (fpso) and fuzzy c-means (fcm) algorithms, to solve the fuzzyclustering problem, especially for large sizes. when the problem becomes large, thefcm algorithm may result in uneven distribution of data, making it difficult to findan optimal solution in reasonable amount of time. the pso algorithm does find ago...

The size of everyday data sets is outpacing the capability of computational hardware to analyze these data sets. Social networking and mobile computing alone are producing data sets that are growing by terabytes every day. Because these data often cannot be loaded into a computer’s working memory, most literal algorithms (algorithms that require access to the full data set) cannot be used. One ...

Cuaca memiliki pengaruh yang besar pada masyarakat Indonesia. Indonesia sebagai negara ekuator mengalami anomali cuaca melebihi negara-negara jauh dari menyebabkan sulitnya memprediksi perubahan karena interaksi antara laut dan atmosfer di Samudra Hindia Pasifik mengapit Dalam kondisi dengan akurat, diperlukan sistem dapat menganalisis yaitu aplikasi prediksi menggunakan fuzzy c-means (FCM) sug...