Survey on Probabilistic Models of Low-Rank Matrix Factorizations
Low-rank matrix factorizations such as Principal Component Analysis (PCA), Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF) are a large class of methods for pursuing the low-rank approximation of a given data matrix. The conventional factorization models are based on th...
Main Authors: | Jiarong Shi, Xiuyun Zheng, Wei Yang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-08-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/19/8/424 |
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