Posts

Showing posts with the label Extended chaotic particle swarm optimization

EXTENDED PSO ALGORITHM FOR IMPROVEMENT PROBLEMS K-MEANS CLUSTERING ALGORITHM

Image
International Journal of Managing Information Technology (IJMIT) ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Article: EXTENDED PSO ALGORITHM FOR IMPROVEMENT PROBLEMS K-MEANS CLUSTERING ALGORITHM  Authors Maryam Lashkari1 and Amin Rostami2 1Department of Computer Engineering, Ferdows Branch, Islamic Azad University, Ferdows, Iran. 2Department of Computer Engineering, Ferdows Branch, Islamic Azad University, Ferdows, Iran.  Abstract The clustering is a without monitoring process and one of the most common data mining techniques. The purpose of clustering is grouping similar data together in a group, so were most similar to each other in a cluster and the difference with most other instances in the cluster are. In this paper we focus on clustering partition k-means, due to ease of implementation and high-speed performance of large data sets, After 30 year it is still very popular among the developed clus...