loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
Finding Groups in Data: Cluster Analysis with Ants
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
Urszula Boryczka, University of Silesia, Poland
We present in this paper a modification of Lumer and Faieta?s algorithm for data clustering. This algorithm discovers automatically clusters in numerical data without prior knowledge of possible number of clusters. We have applied this algorithm on standard databases and we get very good results compared to the AntClass, k-means and ISODATA algorithms for IRIS dataset.
Citation:
Urszula Boryczka, "Finding Groups in Data: Cluster Analysis with Ants," isda, vol. 1, pp.404-409, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
Usage of this product signifies your acceptance of the Terms of Use.