de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster

Class EMClusterVisualization

java.lang.Object

de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization

All Implemented Interfaces:

ResultProcessor, Parameterizable, VisFactory

public class EMClusterVisualization
extends AbstractVisFactory

Visualizer for generating SVG-Elements containing ellipses for first, second and third standard deviation

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	EMClusterVisualization.Instance<NV extends NumberVector<?>> Instance.

Field Summary

Fields

Modifier and Type	Field and Description
private static String	NAME A short name characterizing this Visualizer.
(package private) static double[]	sigma Constants for quantiles of standard deviation

Fields inherited from class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

thumbmask

Constructor Summary

Constructors

Constructor and Description
EMClusterVisualization() Constructor

Method Summary

Methods

Modifier and Type	Method and Description
private static <NV extends NumberVector<?>> Clustering<MeanModel<NV>>	findMeanModel(Clustering<?> c) Test if the given clustering has a mean model.
EMClusterVisualization.Instance<DoubleVector>	makeVisualization(VisualizationTask task) Produce a visualization instance for the given task
void	processNewResult(HierarchicalResult baseResult, Result result) Add visualizers for the given result (tree) to the context.

Methods inherited from class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory

allowThumbnails, makeVisualizationOrThumbnail

Methods inherited from class java.lang.Object

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

Field Detail

NAME

private static final String NAME

A short name characterizing this Visualizer.

See Also:

Constant Field Values

sigma

static final double[] sigma

Constants for quantiles of standard deviation

Constructor Detail

EMClusterVisualization

public EMClusterVisualization()

Constructor

Method Detail

makeVisualization

public EMClusterVisualization.Instance<DoubleVector> makeVisualization(VisualizationTask task)

Description copied from interface: VisFactory

Produce a visualization instance for the given task

Specified by:

makeVisualization in interface VisFactory

Specified by:

makeVisualization in class AbstractVisFactory

Parameters:

task - Visualization task

Returns:

Visualization

processNewResult

public void processNewResult(HierarchicalResult baseResult,
                    Result result)

Description copied from interface: VisFactory

Add visualizers for the given result (tree) to the context.

Parameters:

baseResult - Context to work with

result - Result to process

findMeanModel

private static <NV extends NumberVector<?>> Clustering<MeanModel<NV>> findMeanModel(Clustering<?> c)

Test if the given clustering has a mean model.

Type Parameters:

NV - Vector type

Parameters:

c - Clustering to inspect

Returns:

the clustering cast to return a mean model, null otherwise.