A new automatic GEP-Cluster algorithm
by Xin Du; Youcong Ni; Peng Ye; Ruliang Xiao
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 9, No. 3, 2015

Abstract: GEP-Cluster, a clustering algorithm based on Gene Expression Programming (GEP), is a kind of automatic cluster algorithm for the clustering problem with unknown clustering number. However, its performance, especially the step for computing the distance between the data object and the corresponding cluster centre, can be improved. Parallel is undoubtedly a good method for improving the performance of algorithm. This paper proposes an improved auto-clustering algorithm based on Compute Unified Device Architecture (CUDA) and GEP, called ICGEP-Cluster. Experimental results show that ICGEP-Clustering has a better performance than GEP-Cluster, especially for the large scale of data objects.

Online publication date: Thu, 19-Nov-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com