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

Class SlopeInversionDimensionSimilarity

java.lang.Object

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

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

All Implemented Interfaces:

DimensionSimilarity<NumberVector<?>>, InspectionUtilFrequentlyScanned, Parameterizable

public class SlopeInversionDimensionSimilarity
extends SlopeDimensionSimilarity

Arrange dimensions based on the entropy of the slope spectrum. In contrast to SlopeDimensionSimilarity, we also take the option of inverting an axis into account. TODO: shouldn't this be normalized by the single-dimension entropies or so?

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
static SlopeInversionDimensionSimilarity	STATIC Static instance.

Fields inherited from class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity

LOG_PRECISION, PRECISION, RESCALE

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	SlopeInversionDimensionSimilarity() 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 SlopeInversionDimensionSimilarity STATIC

Static instance.

Constructor Detail

SlopeInversionDimensionSimilarity

protected SlopeInversionDimensionSimilarity()

Constructor. Use static instance instead!

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<?>>

Overrides:

computeDimensionSimilarites in class SlopeDimensionSimilarity

Parameters:

relation - Relation

subset - DBID subset (for sampling / selection)

matrix - Matrix to fill