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Discriminative Principal Component Analysis: A REVERSE THINKING
In this paper, we propose a novel approach named by Discriminative Principal Component Analysis which is abbreviated as Discriminative PCA in order to enhance separability of PCA by Linear Discriminant Analysis (LDA).
New SVD based initialization strategy for Non-negative Matrix Factorization
Hence, we give another method based SVD to fulfil initialization for NMF algorithms (SVD-NMF).
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