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

Class ClusterMeanVisualization

java.lang.Object

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

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

All Implemented Interfaces:

ResultProcessor, Parameterizable, VisFactory

public class ClusterMeanVisualization
extends AbstractVisFactory

Visualize the mean of a KMeans-Clustering

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	ClusterMeanVisualization.Instance Instance.
static class	ClusterMeanVisualization.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static String	NAME A short name characterizing this Visualizer.
protected ClusterMeanVisualization.Parameterizer	settings Settings

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

thumbmask

Constructor Summary

Constructors

Constructor and Description
ClusterMeanVisualization(ClusterMeanVisualization.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

settings

protected ClusterMeanVisualization.Parameterizer settings

Settings

Constructor Detail

ClusterMeanVisualization

public ClusterMeanVisualization(ClusterMeanVisualization.Parameterizer settings)

Constructor.

Parameters:

settings - Settings

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.