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