de.lmu.ifi.dbs.elki.math.statistics.dependence

Class SlopeInversionDependenceMeasure

java.lang.Object

de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure

de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure

de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeInversionDependenceMeasure

All Implemented Interfaces:

DependenceMeasure

@Reference(authors="Elke Achtert, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek",
           title="Interactive Data Mining with 3D-Parallel-Coordinate-Trees",
           booktitle="Proc. 2013 ACM Int. Conf. on Management of Data (SIGMOD 2013)",
           url="https://doi.org/10.1145/2463676.2463696",
           bibkey="DBLP:conf/sigmod/AchtertKSZ13")
public class SlopeInversionDependenceMeasure
extends SlopeDependenceMeasure

Arrange dimensions based on the entropy of the slope spectrum.

Reference:

Elke Achtert, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek:
Interactive Data Mining with 3D-Parallel-Coordinate-Trees.
Proc. 2013 ACM Int. Conf. on Management of Data (SIGMOD 2013)

TODO: shouldn't this be normalized by the single-dimension entropies or so?

Since:

0.5.5

Author:

Erich Schubert, Robert Rödler

Nested Class Summary

Nested Classes

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

Field Summary

Fields

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

Fields inherited from class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure

LOG_PRECISION, PRECISION, RESCALE

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	SlopeInversionDependenceMeasure() Constructor.

Method Summary

Modifier and Type	Method and Description
<A,B> double	dependence(NumberArrayAdapter<?,A> adapter1, A data1, NumberArrayAdapter<?,B> adapter2, B data2) Measure the dependence of two variables.

Methods inherited from class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure

clamp, computeNormalizedRanks, discretize, index, ranks, ranks, size, size, sortedIndex

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.math.statistics.dependence.DependenceMeasure

dependence, dependence, dependence

Field Detail

STATIC

public static final SlopeInversionDependenceMeasure STATIC

Static instance.

Constructor Detail

SlopeInversionDependenceMeasure

protected SlopeInversionDependenceMeasure()

Constructor. Use static instance instead!

Method Detail

dependence

public <A,B> double dependence(NumberArrayAdapter<?,A> adapter1,
                               A data1,
                               NumberArrayAdapter<?,B> adapter2,
                               B data2)

Description copied from interface: DependenceMeasure

Measure the dependence of two variables. This is the more flexible API, which allows using different internal data representations.

Specified by:

dependence in interface DependenceMeasure

Overrides:

dependence in class SlopeDependenceMeasure

Type Parameters:

A - First array type

B - Second array type

Parameters:

adapter1 - First data adapter

data1 - First data set

adapter2 - Second data adapter

data2 - Second data set

Returns:

Dependence measure