weka.datagenerators.clusterers

Class SubspaceClusterDefinition

java.lang.Object

weka.datagenerators.ClusterDefinition

weka.datagenerators.clusterers.SubspaceClusterDefinition

All Implemented Interfaces:

Serializable, OptionHandler, RevisionHandler

public class SubspaceClusterDefinition
extends ClusterDefinition

A single cluster for the SubspaceCluster datagenerator

Valid options are:

 -A <range>
  Generates randomly distributed instances in the cluster.

 -U <range>
  Generates uniformly distributed instances in the cluster.

 -G <range>
  Generates gaussian distributed instances in the cluster.

 -D <num>,<num>
  The attribute min/max (-A and -U) or mean/stddev (-G) for
  the cluster.

 -N <num>..<num>
  The range of number of instances per cluster (default 1..50).

 -I
  Uses integer instead of continuous values (default continuous).

Version:

$Revision: 8034 $

Author:

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

See Also:

SubspaceCluster, Serialized Form

Constructor Summary

Constructors

Constructor and Description
SubspaceClusterDefinition() initializes the cluster, without a parent cluster (necessary for GOE)
SubspaceClusterDefinition(ClusterGenerator parent) initializes the cluster with default values

Method Summary

Methods

Modifier and Type	Method and Description
String	attributesToString() Make a string from the attribues list.
String	attrIndexRangeTipText() Returns the tip text for this property
String	clusterSubTypeTipText() Returns the tip text for this property
String	clusterTypeTipText() Returns the tip text for this property
boolean[]	getAttributes()
String	getAttrIndexRange() returns the attribute range(s).
SelectedTag	getClusterSubType() Gets the cluster sub type.
SelectedTag	getClusterType() Gets the cluster type.
int	getMaxInstNum() Gets the upper boundary for instances per cluster.
double[]	getMaxValue()
String	getMeanStddev() returns the current mean/stddev setup
double[]	getMeanValue()
int	getMinInstNum() Gets the lower boundary for instances per cluster.
double[]	getMinValue()
int	getNumInstances()
String[]	getOptions() Gets the current settings of the datagenerator BIRCHCluster.
String	getRevision() Returns the revision string.
double[]	getStddevValue()
String	getValuesList() returns the range for each attribute as string
String	globalInfo() Returns a string describing this data generator.
boolean	isContinuous() checks, whether cluster sub type is continuous
boolean	isGaussian() checks, whether cluster type is gaussian
boolean	isInteger() checks, whether cluster sub type is integer
boolean	isRandom() checks, whether cluster type is random
boolean	isUniform() checks, whether cluster type is uniform
Enumeration	listOptions() Returns an enumeration describing the available options.
String	maxInstNumTipText() Returns the tip text for this property
String	meanStddevTipText() Returns the tip text for this property
String	minInstNumTipText() Returns the tip text for this property
void	setAttrIndexRange(String rangeList) Sets which attributes are used in the cluster attributes among the selection will be discretized.
void	setClusterSubType(SelectedTag value) Sets the cluster sub type.
void	setClusterType(SelectedTag value) Sets the cluster type.
void	setMaxInstNum(int newMaxInstNum) Sets the upper boundary for instances per cluster.
void	setMeanStddev(String meanstddev) Sets mean and standarddeviation.
void	setMinInstNum(int newMinInstNum) Sets the lower boundary for instances per cluster.
void	setNumInstances(Random r) Sets the real number of instances for this cluster.
void	setOptions(String[] options) Parses a list of options for this object.
void	setParent(SubspaceCluster parent) sets the parent datagenerator this cluster belongs to
void	setValuesList(String fromToList) Sets the ranges for each attribute.
void	setValuesList(String fromToList, double[] first, double[] second, String optionLetter) Sets the ranges for each attribute.
String	toString() Make a string from the cluster features.
String	valuesListTipText() Returns the tip text for this property

Methods inherited from class weka.datagenerators.ClusterDefinition

getParent, parentTipText, setParent

Methods inherited from class java.lang.Object

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

Constructor Detail

SubspaceClusterDefinition

public SubspaceClusterDefinition()

initializes the cluster, without a parent cluster (necessary for GOE)

SubspaceClusterDefinition

public SubspaceClusterDefinition(ClusterGenerator parent)

initializes the cluster with default values

Parameters:

parent - the datagenerator this cluster belongs to

Method Detail

globalInfo

public String globalInfo()

Returns a string describing this data generator.

Overrides:

globalInfo in class ClusterDefinition

Returns:

a description of the data generator suitable for displaying in the explorer/experimenter gui

listOptions

public Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Specified by:

listOptions in class ClusterDefinition

Returns:

an enumeration of all the available options

setOptions

public void setOptions(String[] options)
                throws Exception

Parses a list of options for this object.

Valid options are:

 -A <range>
  Generates randomly distributed instances in the cluster.

 -U <range>
  Generates uniformly distributed instances in the cluster.

 -G <range>
  Generates gaussian distributed instances in the cluster.

 -D <num>,<num>
  The attribute min/max (-A and -U) or mean/stddev (-G) for
  the cluster.

 -N <num>..<num>
  The range of number of instances per cluster (default 1..50).

 -I
  Uses integer instead of continuous values (default continuous).

Specified by:

setOptions in interface OptionHandler

Specified by:

setOptions in class ClusterDefinition

Parameters:

options - the list of options as an array of strings

Throws:

Exception - if an option is not supported

getOptions

public String[] getOptions()

Gets the current settings of the datagenerator BIRCHCluster.

Specified by:

getOptions in interface OptionHandler

Specified by:

getOptions in class ClusterDefinition

Returns:

an array of strings suitable for passing to setOptions

attributesToString

public String attributesToString()

Make a string from the attribues list.

Returns:

the attributes as string

toString

public String toString()

Make a string from the cluster features.

Overrides:

toString in class ClusterDefinition

Returns:

the cluster features as string

setParent

public void setParent(SubspaceCluster parent)

sets the parent datagenerator this cluster belongs to

Parameters:

parent - the parent datagenerator

setAttrIndexRange

public void setAttrIndexRange(String rangeList)

Sets which attributes are used in the cluster attributes among the selection will be discretized.

Parameters:

rangeList - a string representing the list of attributes. Since the string will typically come from a user, attributes are indexed from 1.
eg: first-3,5,6-last

getAttrIndexRange

public String getAttrIndexRange()

returns the attribute range(s).

Returns:

the attribute range(s).

attrIndexRangeTipText

public String attrIndexRangeTipText()

Returns the tip text for this property

Returns:

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

getAttributes

public boolean[] getAttributes()

getMinValue

public double[] getMinValue()

getMaxValue

public double[] getMaxValue()

getMeanValue

public double[] getMeanValue()

getStddevValue

public double[] getStddevValue()

getNumInstances

public int getNumInstances()

getClusterType

public SelectedTag getClusterType()

Gets the cluster type.

Returns:

the cluster type

See Also:

SubspaceCluster.TAGS_CLUSTERTYPE

setClusterType

public void setClusterType(SelectedTag value)

Sets the cluster type.

Parameters:

value - the new cluster type.

See Also:

SubspaceCluster.TAGS_CLUSTERTYPE

clusterTypeTipText

public String clusterTypeTipText()

Returns the tip text for this property

Returns:

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

getClusterSubType

public SelectedTag getClusterSubType()

Gets the cluster sub type.

Returns:

the cluster sub type

See Also:

SubspaceCluster.TAGS_CLUSTERSUBTYPE

setClusterSubType

public void setClusterSubType(SelectedTag value)

Sets the cluster sub type.

Parameters:

value - the new cluster sub type.

See Also:

SubspaceCluster.TAGS_CLUSTERSUBTYPE

clusterSubTypeTipText

public String clusterSubTypeTipText()

Returns the tip text for this property

Returns:

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

isRandom

public boolean isRandom()

checks, whether cluster type is random

Returns:

true if cluster type is random

isUniform

public boolean isUniform()

checks, whether cluster type is uniform

Returns:

true if cluster type is uniform

isGaussian

public boolean isGaussian()

checks, whether cluster type is gaussian

Returns:

true if cluster type is gaussian

isContinuous

public boolean isContinuous()

checks, whether cluster sub type is continuous

Returns:

true if cluster sub type is continuous

isInteger

public boolean isInteger()

checks, whether cluster sub type is integer

Returns:

true if cluster sub type is integer

getMinInstNum

public int getMinInstNum()

Gets the lower boundary for instances per cluster.

Returns:

the the lower boundary for instances per cluster

setMinInstNum

public void setMinInstNum(int newMinInstNum)

Sets the lower boundary for instances per cluster.

Parameters:

newMinInstNum - new lower boundary for instances per cluster

minInstNumTipText

public String minInstNumTipText()

Returns the tip text for this property

Returns:

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

getMaxInstNum

public int getMaxInstNum()

Gets the upper boundary for instances per cluster.

Returns:

the upper boundary for instances per cluster

setMaxInstNum

public void setMaxInstNum(int newMaxInstNum)

Sets the upper boundary for instances per cluster.

Parameters:

newMaxInstNum - new upper boundary for instances per cluster

maxInstNumTipText

public String maxInstNumTipText()

Returns the tip text for this property

Returns:

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

setNumInstances

public void setNumInstances(Random r)

Sets the real number of instances for this cluster.

Parameters:

r - random number generator

setValuesList

public void setValuesList(String fromToList)
                   throws Exception

Sets the ranges for each attribute.

Parameters:

fromToList - the string containing the upper and lower boundary for instances per cluster separated by ..

Throws:

Exception - if values are not correct in number or value

getValuesList

public String getValuesList()

returns the range for each attribute as string

valuesListTipText

public String valuesListTipText()

Returns the tip text for this property

Returns:

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

setMeanStddev

public void setMeanStddev(String meanstddev)
                   throws Exception

Sets mean and standarddeviation.

Parameters:

meanstddev - the string containing the upper and lower boundary for instances per cluster separated by ..

Throws:

Exception - if values are not correct in number or value

getMeanStddev

public String getMeanStddev()

returns the current mean/stddev setup

meanStddevTipText

public String meanStddevTipText()

Returns the tip text for this property

Returns:

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

setValuesList

public void setValuesList(String fromToList,
                 double[] first,
                 double[] second,
                 String optionLetter)
                   throws Exception

Sets the ranges for each attribute.

Parameters:

fromToList - the string containing the upper and lower boundary for instances per cluster separated by ..

first - the "from's"

second - the "to's"

optionLetter - the option, from which the list came

Throws:

Exception - if values are not correct in number or value

getRevision

public String getRevision()

Returns the revision string.

Returns:

the revision