Hypergraph-Regularized <i>L</i><sub>p</sub> Smooth Nonnegative Matrix Factorization for Data Representation

Hypergraph-Regularized <i>L</i><sub>p</sub> Smooth Nonnegative Matrix Factorization for Data Representation

Nonnegative matrix factorization (NMF) has been shown to be a strong data representation technique, with applications in text mining, pattern recognition, image processing, clustering and other fields. In this paper, we propose a hypergraph-regularized <inline-formula><math xmlns="http...

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Bibliographic Details
Main Authors: Yunxia Xu, Linzhang Lu, Qilong Liu, Zhen Chen
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Mathematics
Subjects:
hypergraph regularization
<i>L<sub>p</sub></i> smooth
nonnegative matrix factorization
data clustering
Online Access:https://www.mdpi.com/2227-7390/11/13/2821

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