Non-Euclidean principal component analysis by Hebbian learning

Title
Non-Euclidean principal component analysis by Hebbian learning
Authors
Keywords
Principal component analysis, Hebbian learning, Kernel distances, Lp-norms, Semi-inner products
Journal
NEUROCOMPUTING
Volume 147, Issue -, Pages 107-119
Publisher
Elsevier BV
Online
2014-06-26
DOI
10.1016/j.neucom.2013.11.049

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

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

Search