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...

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Bibliographic Details
Published in:Entropy
Main Authors: Peng Luo, Jinye Peng
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Subjects:
non-negative matrix factorization
data representation
clustering
Online Access:https://www.mdpi.com/1099-4300/19/12/627

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https://www.mdpi.com/1099-4300/19/12/627

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