de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Class CovarianceDimensionSimilarity

java.lang.Object

de.lmu.ifi.dbs.elki.math.dimensionsimilarity.CovarianceDimensionSimilarity

All Implemented Interfaces:

DimensionSimilarity<NumberVector<?>>, InspectionUtilFrequentlyScanned, Parameterizable

public class CovarianceDimensionSimilarity
extends Object
implements DimensionSimilarity<NumberVector<?>>

Class to compute the dimension similarity based on covariances.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CovarianceDimensionSimilarity.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
static CovarianceDimensionSimilarity	STATIC Static instance

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	CovarianceDimensionSimilarity() Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
void	computeDimensionSimilarites(Relation<? extends NumberVector<?>> relation, DBIDs subset, DimensionSimilarityMatrix matrix) Compute the dimension similarity matrix

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

STATIC

public static final CovarianceDimensionSimilarity STATIC

Static instance

Constructor Detail

CovarianceDimensionSimilarity

protected CovarianceDimensionSimilarity()

Constructor. Use static instance.

Method Detail

computeDimensionSimilarites

public void computeDimensionSimilarites(Relation<? extends NumberVector<?>> relation,
                               DBIDs subset,
                               DimensionSimilarityMatrix matrix)

Description copied from interface: DimensionSimilarity

Compute the dimension similarity matrix

Specified by:

computeDimensionSimilarites in interface DimensionSimilarity<NumberVector<?>>

Parameters:

relation - Relation

subset - DBID subset (for sampling / selection)

matrix - Matrix to fill