A Quadratic Classifier for High-Dimension, Low-Sample-Size Data Under the Strongly Spiked Eigenvalue Model

Ishii, Aki; Yata, Kazuyoshi; Aoshima, Makoto

doi:10.1007/978-3-030-28665-1_10

Springer Proceedings in Mathematics &Amp; Statistics

2019

DOI: 10.1007/978-3-030-28665-1_10

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A Quadratic Classifier for High-Dimension, Low-Sample-Size Data Under the Strongly Spiked Eigenvalue Model

Aki Ishii

Kazuyoshi Yata

Makoto Aoshima

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A Quadratic Classifier for High-Dimension, Low-Sample-Size Data Under the Strongly Spiked Eigenvalue Model

Cited by 1 publication

References 18 publications

Geometric classifiers for high-dimensional noisy data

Geometric classifiers for high-dimensional noisy data

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