Title :
An ant-based algorithm for clustering
Author :
Elkamel, Akil ; Gzara, Mariem ; Jamoussi, Salma ; Ben-Abdallah, Hanêne
Author_Institution :
Inst. Super. d´´Inf. et de Math. de Monastir, Monastir
Abstract :
In this paper, we propose a new ant based clustering algorithm. The algorithm takes inspiration from the sound communication properties of real ants. Artificial ants communicate directly with each others in order to merge similar group of objects. The proposed algorithm was tested and evaluated. The obtained results are very encouraging in comparison with the famous k-means and some ant based clustering algorithms.
Keywords :
artificial life; pattern clustering; artificial ant-based clustering algorithm; object merging; Arithmetic; Cadaver; Clustering algorithms; Control systems; Insects; Laboratories; Machine learning algorithms; Multimedia computing; Multimedia systems; Robust control; Artificial ants; ant based algorithms; ants communication; clustering; k-means;
Conference_Titel :
Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on
Conference_Location :
Rabat
Print_ISBN :
978-1-4244-3807-5
Electronic_ISBN :
978-1-4244-3806-8
DOI :
10.1109/AICCSA.2009.5069307
