Unsupervised feature selection via low-rank approximation and structure learning

Title
Unsupervised feature selection via low-rank approximation and structure learning
Authors
Keywords
Machine learning, Feature selection, Unsupervised learning, Low-rank approximation, Structure learning
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 124, Issue -, Pages 70-79
Publisher
Elsevier BV
Online
2017-03-07
DOI
10.1016/j.knosys.2017.03.002

Ask authors/readers for more resources

Reprint

Contact the author

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

Find the ideal target journal for your manuscript

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

Search