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Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations - MaRDI portal

Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations (Q764487)

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Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations
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    Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations (English)
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    13 March 2012
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    consistency
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    discriminant analysis
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    eigenvalue distribution
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    HDLSS
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    inverse matrix
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    noise reduction
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    principal components analysis
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