Fuzzy clustering with artificial bee colony algorithm
SCIENTIFIC RESEARCH AND ESSAYS, cilt.5, sa.14, ss.1899-1902, 2010 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 5 Sayı: 14
- Basım Tarihi: 2010
- Dergi Adı: SCIENTIFIC RESEARCH AND ESSAYS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.1899-1902
- Anahtar Kelimeler: ABC Algorithm, classification, fuzzy clustering
- Erciyes Üniversitesi Adresli: Evet
Özet
In this work, performance of the Artificial Bee Colony Algorithm which is a recently proposed algorithm, has been tested on fuzzy clustering. We applied the Artificial Bee Colony (ABC) Algorithm fuzzy clustering to classify different data sets; Cancer, Diabetes and Heart from UCI database, a collection of classification benchmark problems. The results indicate that the performance of Artificial Bee Colony Optimization Algorithm is successful in fuzzy clustering.