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  • Search: subject:"PCA with missing data"
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Subject
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PCA with missing data 1 computational complexity 1 low-rank matrix approximation 1 matrix completion with noise 1 maximum-edge biclique problem 1 missing data 1 weighted low-rank approximation 1
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Online availability
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Free 1
Type of publication
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Book / Working Paper 1
Language
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English 1
Author
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GILLIS, Nicolas 1 GLINEUR, François 1
Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 1
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CORE Discussion Papers 1
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RePEc 1
Showing 1 - 1 of 1
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Low-rank matrix approximation with weights or missing data is NP-hard
GILLIS, Nicolas; GLINEUR, François - Center for Operations Research and Econometrics (CORE), … - 2010
Weighted low-rank approximation (WLRA), a dimensionality reduction technique for data analysis, has been successfully used in several applications, such as in collaborative filtering to design recommender systems or in computer vision to recover structure from motion. In this paper, we study the...
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