Fuzzy clustering with artificial bee colony algorithm


KARABOĞA D. , ÖZTÜRK C.

SCIENTIFIC RESEARCH AND ESSAYS, vol.5, no.14, pp.1899-1902, 2010 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 5 Issue: 14
  • Publication Date: 2010
  • Title of Journal : SCIENTIFIC RESEARCH AND ESSAYS
  • Page Numbers: pp.1899-1902

Abstract

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.