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

A semi-supervised k-nearest neighbor algorithm based on data editing

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)
Xie Yongfang ; Inst. of Inf. Sci. & Eng., Central South Univ., Changsha, China ; Jiang Youwei ; Tang Mingzhu

YATSI may suffer more from the common problem in semi-supervised learning, i.e. the performance is badly influenced due to the unlabeled examples may often be wrongly labeled. In this paper a semi-supervised k-nearest neighbor classifier named De-YATSI (YATSI with Data Editing) is proposed. A data editing based on estimating class conditional probability is used to identify and discard mislabeled examples of the pre-labeled data set. A k-nearest neighbor classifier with weights is trained by the labeled data set and the edited “pre-labeled” data set. Experiments on UCI datasets show that DE-YATSI could more effectively and stably utilize the unlabeled examples to improve classification accuracy than YATSI.

Published in:

Control and Decision Conference (CCDC), 2011 Chinese

Date of Conference:

23-25 May 2011

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.