Hadoop based uncertain possibilistic kernelized c-means algorithms for image segmentation and a comparative analysis

Published 2016 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Hadoop based uncertain possibilistic kernelized c-means algorithms for image segmentation and a comparative analysis
Authors
Keywords
Possibilistic, Rough intuitionistic fuzzy sets, Hadoop, Map-reduce, Kernel functions, Image segmentation
Journal
APPLIED SOFT COMPUTING
Volume 46, Issue -, Pages 886-923
Publisher
Elsevier BV
Online
2016-02-29
DOI
10.1016/j.asoc.2016.01.045

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

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

Create Now
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.