The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 31-228
Full Name: Sau loong Ang
Position: Lecturer
Age: ON
Sex: Male
Address: Department of Sciences and Mathematics, Universiti Sains Malaysia, USM, 11800, Minden, Gelugor, Penang, Malaysia
Country: MALAYSIA
Tel: 124592617
Tel prefix: +60
Fax:
E-mail address: dellphin1223@yahoo.com
Other E-mails: dellphin1223@hotmail.com
Title of the Paper: criterion in selecting the clustering algorithm in radial basis functional link nets
Authors as they appear in the Paper: Sau Loong Ang, Hong Choon Ong, Heng Chin Low
Email addresses of all the authors: dellphin1223@yahoo.com, hcong@cs.usm.my, hclow@cs.usm.my
Number of paper pages: 10
Abstract: K-means and k-median clustering algorithms can help in the selection of centres for the Radial Basis Functional Link Nets. Radial Basis Functional Link Nets is used to classify the data. In this paper, we will show the importance of knowing the skewness of the data in deciding to choose between k-means or k-median clustering algorithm in finding the centre of Radial Basis Functional Link Nets and we will also show that this initial selection criterion will result in the improvement of efficiency in terms of speed and accuracy in data classification. Two sets of real data are used to demonstrate our results.
Keywords: Radial Basis Functional Link Nets; Radial Basis Function Network; K-means; K-median; Clustering; Skewness.
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: USM Malaysia Library, Universiti Sains Malaysia, USM, 11800, Minden, Gelugor, Penang, Malaysia, www.lib.usm.my .
IP ADDRESS: 60.50.41.15
