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

Class VoronoiVisualization

java.lang.Object

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

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

All Implemented Interfaces:

ResultProcessor, Parameterizable, VisFactory

public class VoronoiVisualization
extends AbstractVisFactory

Visualizer drawing Voronoi cells for k-means clusterings. See also: KMeans clustering

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	VoronoiVisualization.Instance Instance.
static class	VoronoiVisualization.Mode Visualization mode.
static class	VoronoiVisualization.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static String	KMEANSBORDER Generic tags to indicate the type of element.
private static String	NAME A short name characterizing this Visualizer.
private VoronoiVisualization.Parameterizer	settings Settings.

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

thumbmask

Constructor Summary

Constructors

Constructor and Description
VoronoiVisualization(VoronoiVisualization.Parameterizer settings) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
Visualization	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.
private static boolean	testMeanModel(Clustering<?> c) Test if the given clustering has a mean model.

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

KMEANSBORDER

private static final String KMEANSBORDER

Generic tags to indicate the type of element. Used in IDs, CSS-Classes etc.

See Also:

Constant Field Values

settings

private VoronoiVisualization.Parameterizer settings

Settings.

Constructor Detail

VoronoiVisualization

public VoronoiVisualization(VoronoiVisualization.Parameterizer settings)

Constructor.

Parameters:

settings - Drawing mode

Method Detail

makeVisualization

public Visualization 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

testMeanModel

private static boolean testMeanModel(Clustering<?> c)

Test if the given clustering has a mean model.

Parameters:

c - Clustering to inspect

Returns:

true when the clustering has a mean or medoid model.