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

Interface DependenceMeasure

All Known Implementing Classes:

AbstractDependenceMeasure, CorrelationDependenceMeasure, DistanceCorrelationDependenceMeasure, HiCSDependenceMeasure, HoeffdingsDDependenceMeasure, HSMDependenceMeasure, JensenShannonEquiwidthDependenceMeasure, MCEDependenceMeasure, MutualInformationEquiwidthDependenceMeasure, SlopeDependenceMeasure, SlopeInversionDependenceMeasure, SpearmanCorrelationDependenceMeasure, SURFINGDependenceMeasure

public interface DependenceMeasure

Measure the dependence of two variables.

Since:

0.7.0

Author:

Erich Schubert

Method Summary

Modifier and Type	Method and Description
default double	dependence(double[] data1, double[] data2) Measure the dependence of two variables.
default <A> double	dependence(NumberArrayAdapter<?,A> adapter, A data1, A data2) Measure the dependence of two variables.
<A,B> double	dependence(NumberArrayAdapter<?,A> adapter1, A data1, NumberArrayAdapter<?,B> adapter2, B data2) Measure the dependence of two variables.
default <A> double[]	dependence(NumberArrayAdapter<?,A> adapter, java.util.List<? extends A> data) Measure the dependence of two variables.

Method Detail

dependence

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

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

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

dependence

default <A> double dependence(NumberArrayAdapter<?,A> adapter,
                              A data1,
                              A data2)

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

Type Parameters:

A - Array type

Parameters:

adapter - Array type adapter

data1 - First data set

data2 - Second data set

Returns:

Dependence measure

dependence

default <A> double[] dependence(NumberArrayAdapter<?,A> adapter,
                                java.util.List<? extends A> data)

Measure the dependence of two variables. This is the more flexible API, which allows using different internal data representations. The resulting data is a serialized lower triangular matrix:

  X  S  S  S  S  S
  0  X  S  S  S  S
  1  2  X  S  S  S
  3  4  5  X  S  S
  6  7  8  9  X  S
 10 11 12 13 14  X
 

Type Parameters:

A - Array type

Parameters:

adapter - Data adapter

data - Data sets. Must have fast random access!

Returns:

Lower triangular serialized matrix

dependence

default double dependence(double[] data1,
                          double[] data2)

Measure the dependence of two variables.

Parameters:

data1 - First data set

data2 - Second data set

Returns:

Dependence measure