Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations
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AMS subject classifications
primary
62H25
62H30
secondary
34L20
Keywords
Consistency
Discriminant analysis
Eigenvalue distribution
Geometric representation
HDLSS
Inverse matrix
Noise reduction
Principal component analysis
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Copyright © 2011 Elsevier Inc.