Uses of Class
comirva.audio.util.PointList

Packages that use PointList

comirva.audio.feature
comirva.audio.util
comirva.audio.util.gmm
comirva.audio.util.kmeans

Uses of PointList in comirva.audio.feature

Methods in comirva.audio.feature that return PointList

PointList

TimbreDistribution.getSamplePoints() Returns a list of samples drawn from the gmm representing this song.

Methods in comirva.audio.feature with parameters of type PointList

double

TimbreDistribution.getLogLikelihood(PointList samplePoints) Returns the log likelihood for a given sample set.

Uses of PointList in comirva.audio.util

Methods in comirva.audio.util that return PointList

PointList

PointList.normalize() Returns a new PointList containing normalized points.

Uses of PointList in comirva.audio.util.gmm

Fields in comirva.audio.util.gmm declared as PointList

(package private) PointList

CovarianceSingularityException.list

Methods in comirva.audio.util.gmm that return PointList

PointList

CovarianceSingularityException.getCorrectedPointList() Returns the corrected list of points, or null if no corrected list of points is available.

Methods in comirva.audio.util.gmm with parameters of type PointList

double	GaussianMixture.getLogLikelihood(PointList points) Returns the log likelihood of the points stored in the pointlist under the assumption the these points where sample from this GMM.
protected void	GaussianComponent.maximise(PointList samplePoints, double[] p_ij) This method performs the maximization step for this component given the sample points and the estimates p_ij = P(C=i | x_j) for sample j of being generated by this component under the assumption that this sample has been drawn from this GMM.
void	GaussianMixture.runEM(PointList samplePoints) Runs the EM algorithm to train this GMM given the sample points in the PointList.

Constructors in comirva.audio.util.gmm with parameters of type PointList

CovarianceSingularityException(PointList list)
Constructs a CovarianceSingularityException.

Uses of PointList in comirva.audio.util.kmeans

Fields in comirva.audio.util.kmeans declared as PointList

protected PointList

KMeansClustering.data

Constructors in comirva.audio.util.kmeans with parameters of type PointList

KMeansClustering(int numberClusters, PointList pl)
Constructs an object that allows to separate a point list into k clusters.

KMeansClustering(int numberClusters, PointList pl, boolean normalize)
Constructs an object that allows to separate a point list into k clusters.

KMeansClustering(int numberClusters, PointList pl, boolean normalize, int maxIterations)
Constructs an object that allows to separate a point list into k clusters.