Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm

Published 2008 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm
Authors
Keywords
-
Journal
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Volume 52, Issue 10, Pages 4658-4672
Publisher
Elsevier BV
Online
2008-03-16
DOI
10.1016/j.csda.2008.03.002

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.