weka.gui.explorer
Class ClustererAssignmentsPlotInstances

java.lang.Object
  weka.gui.explorer.AbstractPlotInstances
      weka.gui.explorer.ClustererAssignmentsPlotInstances

All Implemented Interfaces:

Serializable, OptionHandler

public class ClustererAssignmentsPlotInstances
extends AbstractPlotInstances

A class for generating plottable cluster assignments.

Example usage:

 Instances train = ... // from somewhere
 Instances test = ... // from somewhere
 Clusterer cls = ... // from somewhere
 // build and evaluate clusterer
 cls.buildClusterer(train);
 ClusterEvaluation eval = new ClusterEvaluation();
 eval.setClusterer(cls);
 eval.evaluateClusterer(test);
 // generate plot instances
 ClustererPlotInstances plotInstances = new ClustererPlotInstances();
 plotInstances.setClusterer(cls);
 plotInstances.setInstances(test);
 plotInstances.setClusterer(cls);
 plotInstances.setClusterEvaluation(eval);
 plotInstances.setUp();
 // generate visualization
 VisualizePanel visPanel = new VisualizePanel();
 visPanel.addPlot(plotInstances.getPlotData("plot name"));
 // clean up
 plotInstances.cleanUp();
 

Version:

$Revision: 8034 $

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Constructor Summary

ClustererAssignmentsPlotInstances()

Method Summary

void	cleanUp() For freeing up memory.
Clusterer	getClusterer() Returns the currently set clusterer.
ClusterEvaluation	getClusterEvaluation() Returns the cluster evaluation object in use.
void	setClusterer(Clusterer value) Sets the classifier used for making the predictions.
void	setClusterEvaluation(ClusterEvaluation value) Sets the cluster evaluation object to use.

Methods inherited from class weka.gui.explorer.AbstractPlotInstances

getInstances, getOptions, getPlotData, getPlotInstances, listOptions, setInstances, setOptions, setUp

Methods inherited from class java.lang.Object

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

Constructor Detail

ClustererAssignmentsPlotInstances

public ClustererAssignmentsPlotInstances()

Method Detail

setClusterer

public void setClusterer(Clusterer value)

Sets the classifier used for making the predictions.

Parameters:

value - the clusterer to use

getClusterer

public Clusterer getClusterer()

Returns the currently set clusterer.

Returns:

the clusterer in use

setClusterEvaluation

public void setClusterEvaluation(ClusterEvaluation value)

Sets the cluster evaluation object to use.

Parameters:

value - the evaluation object

getClusterEvaluation

public ClusterEvaluation getClusterEvaluation()

Returns the cluster evaluation object in use.

Returns:

the evaluation object

cleanUp

public void cleanUp()

For freeing up memory. Plot data cannot be generated after this call!

Overrides:

cleanUp in class AbstractPlotInstances