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Class weka.gui.explorer.ClustererPanel
java.lang.Object
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+----java.awt.Component
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+----java.awt.Container
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+----javax.swing.JComponent
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+----javax.swing.JPanel
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+----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: 1.38 $
- Author:
- Mark Hall (mhall@cs.waikato.ac.nz)
- Author:
- Richard Kirkby (rkirkby@cs.waikato.ac.nz)
ClustererPanel()
- Creates the clusterer panel
main(String[])
- Tests out the clusterer panel from the command line.
setInstances(Instances)
- Tells the panel to use a new set of instances.
setLog(Logger)
- Sets the Logger to receive informational messages
setXY_VisualizeIndexes(int, int)
- Set the default attributes to use on the x and y axis
of a new visualization object.
ClustererPanel
public ClustererPanel()
Creates the clusterer panel
setLog
public void setLog(Logger newLog)
Sets the Logger to receive informational messages
- Parameters:
newLog - the Logger that will now get info messages
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
setInstances
public void setInstances(Instances inst)
Tells the panel to use a new set of instances.
- Parameters:
inst - a set of Instances
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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