Accelerated Simplified Swarm Optimization with Exploitation Search Scheme for Data Clustering.

ABSTRACT: Data clustering is commonly employed in many disciplines. The aim of clustering is to partition a set of data into clusters, in which objects within the same cluster are similar and dissimilar to other objects that belong to different clusters. Over the past decade, the evolutionary algorithm has been commonly used to solve clustering problems. This study presents a novel algorithm based on simplified swarm optimization, an emerging population-based stochastic optimization approach with the advantages of simplicity, efficiency, and flexibility. This approach combines variable vibrating search (VVS) and rapid centralized strategy (RCS) in dealing with clustering problem. VVS is an exploitation search scheme that can refine the quality of solutions by searching the extreme points nearby the

SUBMITTER: Yeh WC 

PROVIDER: S-EPMC4562660 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature