g-BSAFCM : A New Hybrid Clustering Algorithm
Yükleniyor...
Dosyalar
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Clustering is dividing a dataset into subsets that has similar characteristics. In this study, fuzzy c-means clustering algorithm (FCM) and a new evolutionary optimization algorithm, Backtracking Search (BSA) algorithm, were combined and a new hybrid clustering algorithm (BSAFCM) was proposed. Moreover, the local search abilities of the new algorithm was improved and the new algorithm was named as g-BSAFCM. Three benchmark datasets from UCI Machine Learning Repository database were clustered by using the developed algorithms and FCM. According to the results g-BSAFCM has achieved better results than FCM and BSAFCM.
Açıklama
24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY
WOS: 000391250900014
WOS: 000391250900014
Anahtar Kelimeler
clustering, BSA, FCM, key words
Kaynak
2016 24Th Signal Processing And Communication Application Conference (Siu)
WoS Q Değeri
N/A
