Package elki.evaluation.similaritymatrix

Class ComputeSimilarityMatrixImage<O>

java.lang.Object

elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage<O>

Type Parameters:

O - Object class

All Implemented Interfaces:

Evaluator, ResultProcessor

public class ComputeSimilarityMatrixImage<O>
extends java.lang.Object
implements Evaluator

Compute a similarity matrix for a distance function.

Since:

0.4.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ComputeSimilarityMatrixImage.Par<O>	Parameterization class.
static class	ComputeSimilarityMatrixImage.SimilarityMatrix	Similarity matrix image.

Field Summary

Fields

Modifier and Type	Field	Description
private Distance<? super O>	distance	The distance function to use
private static Logging	LOG	The logger.
private ScalingFunction	scaling	Scaling function to use
private boolean	skipzero	Skip zero values.

Constructor Summary

Constructors

Constructor	Description
ComputeSimilarityMatrixImage(Distance<? super O> distance, ScalingFunction scaling, boolean skipzero)	Constructor.

Method Summary

Modifier and Type	Method	Description
private ComputeSimilarityMatrixImage.SimilarityMatrix	computeSimilarityMatrixImage(Relation<O> relation, DBIDIter iter)	Compute the actual similarity image.
void	processNewResult(java.lang.Object result)	Process a result.

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

The logger.

distance

private Distance<? super O> distance

The distance function to use

scaling

private ScalingFunction scaling

Scaling function to use

skipzero

private boolean skipzero

Skip zero values.

Constructor Detail

ComputeSimilarityMatrixImage

public ComputeSimilarityMatrixImage(Distance<? super O> distance,
                                    ScalingFunction scaling,
                                    boolean skipzero)

Constructor.

Parameters:

distance - Distance function to use

scaling - Scaling function to use for contrast

skipzero - Skip zero values when scaling.

Method Detail

computeSimilarityMatrixImage

private ComputeSimilarityMatrixImage.SimilarityMatrix computeSimilarityMatrixImage(Relation<O> relation,
                                                                                   DBIDIter iter)

Compute the actual similarity image.

Parameters:

relation - Relation

iter - DBID iterator

Returns:

result object

processNewResult

public void processNewResult(java.lang.Object result)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

result - Newly added result subtree.