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Class weka.gui.explorer.ClustererPanel

java.lang.Object
    |
    +----java.awt.Component
            |
            +----java.awt.Container
                    |
                    +----javax.swing.JComponent
                            |
                            +----javax.swing.JPanel
                                    |
                                    +----weka.gui.explorer.ClustererPanel

public class ClustererPanel
extends javax.swing.JPanel
This panel allows the user to select and configure a clusterer, and evaluate the clusterer using a number of testing modes (test on the training data, train/test on a percentage split, test on a separate split). The results of clustering runs are stored in a result history so that previous results are accessible.

Version:
$Revision: 1.30 $
Author:
Mark Hall (mhall@cs.waikato.ac.nz)

Constructor Index

 o ClustererPanel()
Creates the clusterer panel

Method Index

 o main(String[])
Tests out the clusterer panel from the command line.
 o setInstances(Instances)
Tells the panel to use a new set of instances.
 o setLog(Logger)
Sets the Logger to receive informational messages
 o setPreprocess(PreprocessPanel)
Sets the preprocess panel through which user selected filters can be applied to any supplied test data
 o setXY_VisualizeIndexes(int, int)
Set the default attributes to use on the x and y axis of a new visualization object.

Constructor Detail

 o ClustererPanel
public ClustererPanel()
          Creates the clusterer panel

Method Detail

 o setPreprocess
public void setPreprocess(PreprocessPanel p)
          Sets the preprocess panel through which user selected filters can be applied to any supplied test data
Parameters:
p - the preprocess panel to use
 o setLog
public void setLog(Logger newLog)
          Sets the Logger to receive informational messages
Parameters:
newLog - the Logger that will now get info messages
 o setXY_VisualizeIndexes
public void setXY_VisualizeIndexes(int x,
                                   int y)
          Set the default attributes to use on the x and y axis of a new visualization object.
Parameters:
x - the index of the attribute to use on the x axis
y - the index of the attribute to use on the y axis
 o setInstances
public void setInstances(Instances inst)
          Tells the panel to use a new set of instances.
Parameters:
inst - a set of Instances
 o main
public static void main(java.lang.String args[])
          Tests out the clusterer panel from the command line.
Parameters:
args - may optionally contain the name of a dataset to load.

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