Cart (Loading....) | Create Account
Close category search window
 

A K-means Clustering Algorithm with Meliorated Initial Centers and its Application to Partition of Diet Structures

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jianwen Xie ; Zhuhai Coll., Math. Modeling Innovative Practice Base, Jinan Univ/, Zhuhai ; Zhang Yuanbiao ; Weigang Jiang

Being an unsupervised learning, conventional k-means clustering algorithm suffers from the limitation which includes the dependence on prior knowledge to specify cluster parameter k and the sensitivity to initial centers. In this paper, we proposed a new k-means algorithm with meliorated initial centers, which obviates the needs of cluster parameter and can select effective initial centers skillfully. Firstly, it uses a cluster-validity-index based method to determine the optimal number of clusters k; then, computes the densities of the area where the data objects belongs to, and finds k data objects all of which are from high density area and the most far away from one another; finally, use these k data objects as the initial centers for further k-means clustering. The application of this new k-means algorithm to partition of diet structures shows its feasibility and validity.

Published in:

Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on

Date of Conference:

21-22 Dec. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.