A new semi-supervised clustering technique using multi-objective optimization

Title
A new semi-supervised clustering technique using multi-objective optimization
Authors
Keywords
Semi-supervised clustering, Multiobjective optimization, Cluster validity index, AMOSA
Journal
APPLIED INTELLIGENCE
Volume 43, Issue 3, Pages 633-661
Publisher
Springer Nature
Online
2015-05-14
DOI
10.1007/s10489-015-0656-z

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

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

Create Now