Selecting discriminative features in social media data: An unsupervised approach

Title
Selecting discriminative features in social media data: An unsupervised approach
Authors
Keywords
Unsupervised feature selection, Social media, Link information, Graph partitioning
Journal
NEUROCOMPUTING
Volume 205, Issue -, Pages 463-471
Publisher
Elsevier BV
Online
2016-05-12
DOI
10.1016/j.neucom.2016.03.078

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More