"Effective PCA for high-dimension, low-sample-size data with noise ..."

Kazuyoshi Yata, Makoto Aoshima (2012)

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DOI: 10.1016/J.JMVA.2011.09.002

access: open

type: Journal Article

metadata version: 2024-10-06

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Kazuyoshi Yata, Makoto Aoshima:
Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations. J. Multivar. Anal. 105(1): 193-215 (2012)

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