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Theoretical Measures of Relative Performance of Classifiers for High Dimensional Data with Small Sample Sizes - MaRDI portal

Theoretical Measures of Relative Performance of Classifiers for High Dimensional Data with Small Sample Sizes (Q3631449)

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Theoretical Measures of Relative Performance of Classifiers for High Dimensional Data with Small Sample Sizes
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    Theoretical Measures of Relative Performance of Classifiers for High Dimensional Data with Small Sample Sizes (English)
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    10 June 2009
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    classification boundary
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    detection
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    distance-based classification
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    distance-weighted discrimination
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    higher criticism
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    nearest neighbour method
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    sparsity
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    support vector machine
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    thresholding
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    truncation
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