A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

N

N - Variable in class comirva.audio.util.kmeans.KMeansClustering.Cluster

NA_MAX_DEPTH - Static variable in class comirva.mlearn.GHSOM

NA_MAX_SIZE - Static variable in class comirva.mlearn.GHSOM

name - Variable in class comirva.audio.util.MetaDataInputStream

nameLabel - Variable in class comirva.ui.component.ButtonTabComponent

the label for the title text

next - Variable in class comirva.audio.util.MetaDataInputStream

next() - Method in class comirva.util.FileUtils.TextFileIterator

nextSample() - Method in class comirva.audio.util.gmm.GaussianComponent

Returns a sample drawn from this n-dimensional gaussian distribution.

nextSample() - Method in class comirva.audio.util.gmm.GaussianMixture

Draws a sample from this GMM.

nextStreamID - Static variable in class comirva.audio.util.MetaDataInputStream

NO_FEATURES - Static variable in class comirva.util.external.EuclideanDistanceCalculator

NoMatrixException - Exception in comirva.exception

The NoMatrixException is thrown when a file that should be an ASCII-matrix file is read but the file turns out not to contain a valid matrix.

NoMatrixException() - Constructor for exception comirva.exception.NoMatrixException

Creates a new NoMatrixException-instance.

NoMatrixException(String) - Constructor for exception comirva.exception.NoMatrixException

Creates a new NoMatrixException-instance.

norm1() - Method in class comirva.audio.util.math.Matrix

One norm

norm2() - Method in class comirva.audio.util.math.Matrix

Two norm

norm2() - Method in class comirva.audio.util.math.SingularValueDecomposition

Two norm

normalizationWidth - Variable in class comirva.audio.util.CentSpectrum

normalize(double[][], int) - Method in class comirva.audio.util.CentSpectrum

normalize - Variable in class comirva.audio.util.kmeans.KMeansClustering

normalize() - Method in class comirva.audio.util.PointList

Returns a new PointList containing normalized points.

normalize(double, double) - Method in class comirva.data.DataMatrix

Normalizes the DataMatrix linearly using the complete data matrix as scope.

normalize(double, double, boolean) - Method in class comirva.data.DataMatrix

Normalizes the DataMatrix using the complete data matrix as scope.

normalize(double, double, boolean, int) - Method in class comirva.data.DataMatrix

Normalizes the DataMatrix.

normalize(float[]) - Method in class comirva.web.text.similarity.normalization.NormFunc

The actual functionality.

normalize(float[]) - Method in class comirva.web.text.similarity.normalization.NormFunc_01

normalize(float[]) - Method in class comirva.web.text.similarity.normalization.NormFunc_MaxToX

normalize(float[]) - Method in class comirva.web.text.similarity.normalization.NormFunc_None

normalize(float[]) - Method in class comirva.web.text.similarity.normalization.NormFunc_SumToX

normalizedConvolution - Variable in class comirva.audio.extraction.FluctuationPatternCentExtractor

normalizedConvolution - Variable in class comirva.audio.extraction.FluctuationPatternExtractor

NormalizedConvolution - Class in comirva.audio.util.math

Normalized Convolution Description: This class implements a fast version of the convolution of a filter, represented as a vector, with another vector obtained from a given matrix.

NormalizedConvolution(double[]) - Constructor for class comirva.audio.util.math.NormalizedConvolution

Creates a NormalizedConvolution object, which can be used to compute the convolution a matrix with the given filter by using the convolute() method.

normalizedPowerFFT - Variable in class comirva.audio.util.Sone

normalizeVotingMatrix() - Method in class comirva.mlearn.SDH

Normalizes the voting matrix by dividing every element by the maximum number of votes a map unit got.

normF() - Method in class comirva.audio.util.math.Matrix

Frobenius norm

NormFunc - Class in comirva.web.text.similarity.normalization

Class to implement a normalization function.

NormFunc() - Constructor for class comirva.web.text.similarity.normalization.NormFunc

NormFunc_01 - Class in comirva.web.text.similarity.normalization

normalise the values so that the smallest appearing nonnegative value is 0 and the largest nonnegative value is 1.0f.

NormFunc_01() - Constructor for class comirva.web.text.similarity.normalization.NormFunc_01

NormFunc_MaxToX - Class in comirva.web.text.similarity.normalization

NormFunc_MaxToX(float) - Constructor for class comirva.web.text.similarity.normalization.NormFunc_MaxToX

NormFunc_None - Class in comirva.web.text.similarity.normalization

Does nothing.

NormFunc_None() - Constructor for class comirva.web.text.similarity.normalization.NormFunc_None

NormFunc_SumToX - Class in comirva.web.text.similarity.normalization

NormFunc_SumToX(float) - Constructor for class comirva.web.text.similarity.normalization.NormFunc_SumToX

normInf() - Method in class comirva.audio.util.math.Matrix

Infinity norm

noRules - Variable in class comirva.web.ie.bandmembers.BandMemberDetector

numberClusters - Variable in class comirva.audio.util.kmeans.KMeansClustering

numberCoefficients - Variable in class comirva.audio.util.MFCC

numberDocuments - Variable in class comirva.data.EntityTermProfile

numberElements - Variable in class comirva.audio.util.PointList

numberFilters - Variable in class comirva.audio.util.MFCC

numberGaussianComponents - Variable in class comirva.audio.extraction.TimbreDistributionExtractor

numelNonzero(float[]) - Static method in class comirva.util.MathUtils

Return the number of elements in a that are not zero.