Group Sparsity and Graph Regularized Semi-Nonnegative Matrix Factorization with Discriminability for Data Representation

Semi-Nonnegative Matrix Factorization (Semi-NMF), as a variant of NMF, inherits the merit of parts-based representation of NMF and possesses the ability to process mixed sign data, which has attracted extensive attention. However, standard Semi-NMF still suffers from the following limitations. First...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Peng Luo, Jinye Peng
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2017-11-01
Serie:Entropy
Ämnen:
non-negative matrix factorization
data representation
clustering
Länkar:https://www.mdpi.com/1099-4300/19/12/627
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk