weka.datagenerators

Class ClusterGenerator

java.lang.Object

weka.datagenerators.DataGenerator

weka.datagenerators.ClusterGenerator

All Implemented Interfaces:

java.io.Serializable, OptionHandler, Randomizable, RevisionHandler

Direct Known Subclasses:

BIRCHCluster, SubspaceCluster

public abstract class ClusterGenerator
extends DataGenerator

Abstract class for cluster data generators.

Example usage as the main of a datagenerator called RandomGenerator:

 public static void main(String[] args) {
   try {
     DataGenerator.makeData(new RandomGenerator(), args);
   } catch (Exception e) {
     e.printStackTrace();
     System.err.println(e.getMessage());
   }
 }
 

Version:

$Revision: 15705 $

Author:

Gabi Schmidberger (gabi@cs.waikato.ac.nz), FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ClusterGenerator() initializes the generator

Method Summary

Modifier and Type	Method and Description
java.lang.String	classFlagTipText() Returns the tip text for this property
boolean	getClassFlag() Gets the class flag.
int	getNumAttributes() Gets the number of attributes that should be produced.
java.lang.String[]	getOptions() Gets the current settings of the classifier.
java.util.Enumeration<Option>	listOptions() Returns an enumeration describing the available options.
java.lang.String	numAttributesTipText() Returns the tip text for this property
void	setClassFlag(boolean classFlag) Sets the class flag, if class flag is set, the cluster is listed as class atrribute in an extra attribute.
void	setNumAttributes(int numAttributes) Sets the number of attributes the dataset should have.
void	setOptions(java.lang.String[] options) Sets the options.

Methods inherited from class weka.datagenerators.DataGenerator

debugTipText, defaultOutput, defineDataFormat, enumToVector, formatTipText, generateExample, generateExamples, generateFinished, generateStart, getDatasetFormat, getDebug, getEpilogue, getNumExamplesAct, getOutput, getPrologue, getRandom, getRelationName, getSeed, getSingleModeFlag, makeData, outputTipText, randomTipText, relationNameTipText, runDataGenerator, seedTipText, setDatasetFormat, setDebug, setOutput, setRandom, setRelationName, setSeed

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.OptionHandler

makeCopy

Methods inherited from interface weka.core.RevisionHandler

getRevision

Constructor Detail

ClusterGenerator

public ClusterGenerator()

initializes the generator

Method Detail

listOptions

public java.util.Enumeration<Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class DataGenerator

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Sets the options.

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class DataGenerator

Parameters:

options - the options

Throws:

java.lang.Exception - if invalid option

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the classifier.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class DataGenerator

Returns:

an array of strings suitable for passing to setOptions

See Also:

DataGenerator.removeBlacklist(String[])

setNumAttributes

public void setNumAttributes(int numAttributes)

Sets the number of attributes the dataset should have.

Parameters:

numAttributes - the new number of attributes

getNumAttributes

public int getNumAttributes()

Gets the number of attributes that should be produced.

Returns:

the number of attributes that should be produced

numAttributesTipText

public java.lang.String numAttributesTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setClassFlag

public void setClassFlag(boolean classFlag)

Sets the class flag, if class flag is set, the cluster is listed as class atrribute in an extra attribute.

Parameters:

classFlag - the new class flag

getClassFlag

public boolean getClassFlag()

Gets the class flag.

Returns:

the class flag

classFlagTipText

public java.lang.String classFlagTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui