A B C D E F G H I J K L M N P R S T U V

N

naturalRank(boolean[], double[], double[]) - Static method in class be.ac.ulb.mlg.utils.MeasureUtils
Computed the natural rank of values
naturalRank(boolean[], double[], double[], int[]) - Static method in class be.ac.ulb.mlg.utils.MeasureUtils
Computed the natural rank of values
NO_RENORMALIZER - Static variable in class be.ac.ulb.mlg.utils.Measurer
Constant value meaning NO RENORMALIZATION PROCESS
noFeatures() - Method in class be.ac.ulb.mlg.utils.DefaultRenormalizer
Specifies to no longer use the features renormalization
noGroups() - Method in class be.ac.ulb.mlg.utils.DefaultRenormalizer
Specifies to no longer use the group renormalization but preserve renormalization values by group to rester them, use resetNormalizer()
norm(double[], double[], boolean[]) - Static method in class be.ac.ulb.mlg.utils.measure.HilbertSchmidt
 
normalizeInput(double[][]) - Method in class be.ac.ulb.mlg.utils.DefaultRenormalizer
 
normalizeInput(double[][]) - Method in interface be.ac.ulb.mlg.utils.Renormalizer
Apply the normalization process on the given vector of data vectors
normalizeInput(double[][]) - Method in class be.ac.ulb.mlg.utils.renormalizer.TaxonRenormalizer
 
normalizeOutput(double[][], double[][], Measure) - Method in class be.ac.ulb.mlg.utils.DefaultRenormalizer
 
normalizeOutput(double[][], double[][], Measure) - Method in interface be.ac.ulb.mlg.utils.Renormalizer
Apply the normalization process on the given vector of data vectors and result measures
normalizeOutput(double[][], double[][], Measure) - Method in class be.ac.ulb.mlg.utils.renormalizer.TaxonRenormalizer
 

A B C D E F G H I J K L M N P R S T U V