Dimensionality Reduction Methods

Principal Components Analysis (PCA)

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Kernel Principal Component Analysis (KPCA)

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Sparse Principal Component Analysis (SPCA)

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Truncated Singular Value Decomposition (TSVD) a.k.a. Latent Semantic Analysis (LSA)

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Linear Discriminant Analysis (LDA)

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Non-Negative Matrix Factorization (NMF)

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Multidimensional Scaling (MS)

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Projection Pursuit (PP)

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Sammon Mapping (SM)

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