- be.ac.ulb.mlg.utils.discretizer - package be.ac.ulb.mlg.utils.discretizer
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- be.ac.ulb.mlg.utils.measure - package be.ac.ulb.mlg.utils.measure
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- be.ac.ulb.mlg.utils.measure.entropy - package be.ac.ulb.mlg.utils.measure.entropy
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- be.ac.ulb.mlg.utils.measure.kernel - package be.ac.ulb.mlg.utils.measure.kernel
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- be.ac.ulb.mlg.utils.renormalizer - package be.ac.ulb.mlg.utils.renormalizer
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- BrayCurtis - Class in be.ac.ulb.mlg.utils.measure
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BrayCurtis(X,Y) = 1-2*W/(sum(X)+sum(Y)), with W = sum_i[ min(x_i,y_i)]
- BrayCurtis() - Constructor for class be.ac.ulb.mlg.utils.measure.BrayCurtis
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- BrownCorrelation - Class in be.ac.ulb.mlg.utils.measure
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Jump up to: a b c Székely, Rizzo and Bakirov (2007)
Jump up to: a b c d Székely & Rizzo (2009)
http://en.wikipedia.org/wiki/Distance_correlation#Distance_correlation
The used strategy to handle missing value is to evaluate values with all available value (estimate means)
and try to infer the covariance
- BrownCorrelation() - Constructor for class be.ac.ulb.mlg.utils.measure.BrownCorrelation
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- bubbleSort(double[], int[]) - Static method in class be.ac.ulb.mlg.utils.MeasureUtils
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Apply bubble sort to sort indices (toSort) array based on the values (comparable) array which is also sorted
- bubbleSort(double[], double[]) - Static method in class be.ac.ulb.mlg.utils.MeasureUtils
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Apply bubble sort to another (toSort) array based on the values (comparable) array which is also sorted