Fuzzy clustering with artificial bee colony algorithm

KARABOĞA D., ÖZTÜRK C.

SCIENTIFIC RESEARCH AND ESSAYS, cilt.5, sa.14, ss.1899-1902, 2010 (SCI-Expanded) identifier identifier

  • 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, OPTIMIZATION
  • 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.