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main(String[]) - Static method in class be.ac.ulb.mlg.utils.measure.BrownCorrelation

Measure - Interface in be.ac.ulb.mlg.utils

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.BrayCurtis

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.BrownCorrelation

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.Entropy

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.Euclidean

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.Hellinger

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.HilbertSchmidt

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.JensenShannon

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.Kendall

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.KullbackLeibler

measure(double[], double[], boolean[]) - Method in interface be.ac.ulb.mlg.utils.Measure

Compute the measure between two data vectors

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.MutualInformation

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.Pearson

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.Spearman

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.Steinhaus

measure(double[], double[], boolean[]) - Method in class be.ac.ulb.mlg.utils.measure.VarianceOfLogRatios

measure(DoubleMatrix2D, Measure[]) - Method in class be.ac.ulb.mlg.utils.Measurer

Compute the given measures on data without ignored pairs

measure(DoubleMatrix2D, Measure[], boolean[][]) - Method in class be.ac.ulb.mlg.utils.Measurer

Compute the given measures on data

measure(double[][], Measure[]) - Method in class be.ac.ulb.mlg.utils.Measurer

Compute the given measures on data without ignored pairs

measure(double[][], Measure[], boolean[][]) - Method in class be.ac.ulb.mlg.utils.Measurer

Compute the given measures on data

Measurer - Class in be.ac.ulb.mlg.utils

Measurer() - Constructor for class be.ac.ulb.mlg.utils.Measurer

Construct a Measurer trying native, no missing value and no renormalization without any shuffle

Measurer(int) - Constructor for class be.ac.ulb.mlg.utils.Measurer

Construct a Measurer trying native without any shuffle and without renormalization

Measurer(boolean, int, Renormalizer) - Constructor for class be.ac.ulb.mlg.utils.Measurer

Construct a Measurer trying native without any shuffle

MeasureUtils - Class in be.ac.ulb.mlg.utils

MeasureUtils() - Constructor for class be.ac.ulb.mlg.utils.MeasureUtils

mergeRenormalizer(double[][]) - Method in class be.ac.ulb.mlg.utils.DefaultRenormalizer

multiplicator - Variable in class be.ac.ulb.mlg.utils.measure.kernel.GaussianKernel

MutualInformation - Class in be.ac.ulb.mlg.utils.measure

Mutual information that use the entropy formula: I(X,Y) = H(X) - H(X|Y) = H(Y) - H(Y|X) = H(X) + H(Y) - H(X,Y)

MutualInformation() - Constructor for class be.ac.ulb.mlg.utils.measure.MutualInformation

The default constructor that uses the EmpiricalEntropy entropy estimator and no Discretizer

MutualInformation(Discretizer) - Constructor for class be.ac.ulb.mlg.utils.measure.MutualInformation

The default constructor that uses the EmpiricalEntropy entropy estimator

MutualInformation(Entropy) - Constructor for class be.ac.ulb.mlg.utils.measure.MutualInformation

Constructor that uses the parameter entropy estimator and no discretizer

MutualInformation(Entropy, Discretizer) - Constructor for class be.ac.ulb.mlg.utils.measure.MutualInformation

Constructor that uses the parameter entropy estimator

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