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Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection
Joint Authors
Liu, Jin-Xing
Gao, Ying-Lian
Hao, Yong-Jing
Hou, Mi-Xiao
Dai, Ling-Yun
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Nonnegative Matrix Factorization (NMF) is a significant big data analysis technique.
However, standard NMF regularized by simple graph does not have discriminative function, and traditional graph models cannot accurately reflect the problem of multigeometry information between data.
To solve the above problem, this paper proposed a new method called Hypergraph Regularized Discriminative Nonnegative Matrix Factorization (HDNMF), which captures intrinsic geometry by constructing hypergraphs rather than simple graphs.
The introduction of the hypergraph method allows high-order relationships between samples to be considered, and the introduction of label information enables the method to have discriminative effect.
Both the hypergraph Laplace and the discriminative label information are utilized together to learn the projection matrix in the standard method.
In addition, we offered a corresponding multiplication update solution for the optimization.
Experiments indicate that the method proposed is more effective by comparing with the earlier methods.
American Psychological Association (APA)
Hao, Yong-Jing& Gao, Ying-Lian& Hou, Mi-Xiao& Dai, Ling-Yun& Liu, Jin-Xing. 2019. Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection. Complexity،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1132615
Modern Language Association (MLA)
Hao, Yong-Jing…[et al.]. Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection. Complexity No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1132615
American Medical Association (AMA)
Hao, Yong-Jing& Gao, Ying-Lian& Hou, Mi-Xiao& Dai, Ling-Yun& Liu, Jin-Xing. Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection. Complexity. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1132615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132615