Combining IWC and PSO to enhance data clustering
Joint Authors
Skaik, Ahmad Z.
Ashur, Wisam M.
Source
Journal of Engineering Research and Technology
Issue
Vol. 4, Issue 3 (30 Sep. 2017), pp.119-123, 5 p.
Publisher
The Islamic University-Gaza Deanship of Research and Graduate Affairs
Publication Date
2017-09-30
Country of Publication
Palestine (Gaza Strip)
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper we propose a clustering method based on combination of the Particle Swarm Optimiza-tion (PSO) and the inverse weighted clustering algorithm IWC, It is shown how PSO can be used to find the cen-troids of a user specified number of clusters and basically uses PSO to refine the clusters formed by IWC.
Since PSO algorithm was showed to successfully converge during the initial stages of a global search, but around global optimum, the search process will become very slow.
On the contrary, IWC algorithm can achieve faster convergence to optimum solution, Experimental results show that the proposed technique has much potential to improve the clustering process.
American Psychological Association (APA)
Skaik, Ahmad Z.& Ashur, Wisam M.. 2017. Combining IWC and PSO to enhance data clustering. Journal of Engineering Research and Technology،Vol. 4, no. 3, pp.119-123.
https://search.emarefa.net/detail/BIM-776851
Modern Language Association (MLA)
Skaik, Ahmad Z.& Ashur, Wisam M.. Combining IWC and PSO to enhance data clustering. Journal of Engineering Research and Technology Vol. 4, no. 3 (Sep. 2017), pp.119-123.
https://search.emarefa.net/detail/BIM-776851
American Medical Association (AMA)
Skaik, Ahmad Z.& Ashur, Wisam M.. Combining IWC and PSO to enhance data clustering. Journal of Engineering Research and Technology. 2017. Vol. 4, no. 3, pp.119-123.
https://search.emarefa.net/detail/BIM-776851
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 123
Record ID
BIM-776851