Uses of Class
de.jstacs.clustering.distances.DistanceMetric

Packages that use DistanceMetric

Package	Description
de.jstacs.clustering.distances
de.jstacs.clustering.hierachical

Uses of DistanceMetric in de.jstacs.clustering.distances

Subclasses of DistanceMetric in de.jstacs.clustering.distances

Modifier and Type	Class and Description
class	PearsonCorrelationDistanceMetric Implements a distance metric based on the Pearson correlation of two double vectors.
class	RandomSequenceScoreDistance Class for a distance metric between StatisticalModels based on the correlation of score profiles on random sequences.
class	SequenceScoreDistance Class for a distance metric between StatisticalModels based on the correlation of score profiles on De Bruijn sequences.

Methods in de.jstacs.clustering.distances with parameters of type DistanceMetric

Modifier and Type	Method and Description
static <T> double[][]	DistanceMetric.getPairwiseDistanceMatrix(DistanceMetric<T> metric, T... objects) Returns the matrix of all pairwise distance of the supplied objects, where rows and colums are indexed in the order of the supplied objects.

Uses of DistanceMetric in de.jstacs.clustering.hierachical

Constructors in de.jstacs.clustering.hierachical with parameters of type DistanceMetric

Constructor and Description
Hclust(DistanceMetric<T> metric, Hclust.Linkage linkage) Creates a new object for clustering using the supplied distance metric and linkage method.