de.lmu.ifi.dbs.elki.evaluation.similaritymatrix

Class ComputeSimilarityMatrixImage<O>

java.lang.Object

de.lmu.ifi.dbs.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 and Description
static class	ComputeSimilarityMatrixImage.Parameterizer<O> Parameterization class.
static class	ComputeSimilarityMatrixImage.SimilarityMatrix Similarity matrix image.

Field Summary

Fields

Modifier and Type	Field and Description
private DistanceFunction<? super O>	distanceFunction The distance function to use
private static Logging	LOG The logger.
private ScalingFunction	scaling Scaling function to use
static OptionID	SCALING_ID OptionID for the scaling function to use
private boolean	skipzero Skip zero values.
static OptionID	SKIPZERO_ID OptionID to skip zero values when plotting to increase contrast.

Constructor Summary

Constructors

Constructor and Description
ComputeSimilarityMatrixImage(DistanceFunction<? super O> distanceFunction, ScalingFunction scaling, boolean skipzero) Constructor.

Method Summary

Modifier and Type	Method and Description
private ComputeSimilarityMatrixImage.SimilarityMatrix	computeSimilarityMatrixImage(Relation<O> relation, DBIDIter iter) Compute the actual similarity image.
void	processNewResult(ResultHierarchy hier, Result 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.

SCALING_ID

public static final OptionID SCALING_ID

OptionID for the scaling function to use

SKIPZERO_ID

public static final OptionID SKIPZERO_ID

OptionID to skip zero values when plotting to increase contrast.

distanceFunction

private DistanceFunction<? super O> distanceFunction

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(DistanceFunction<? super O> distanceFunction,
                                    ScalingFunction scaling,
                                    boolean skipzero)

Constructor.

Parameters:

distanceFunction - 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(ResultHierarchy hier,
                             Result result)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

hier - The base of the result tree.

result - Newly added result subtree.