SubspaceClusterDefinition

java.lang.Object
- weka.datagenerators.ClusterDefinition
- - weka.datagenerators.clusterers.SubspaceClusterDefinition

All Implemented Interfaces:: java.io.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: 1.5 $
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

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`java.lang.String`	`attributesToString()` Make a string from the attribues list.
`java.lang.String`	`attrIndexRangeTipText()` Returns the tip text for this property
`java.lang.String`	`clusterSubTypeTipText()` Returns the tip text for this property
`java.lang.String`	`clusterTypeTipText()` Returns the tip text for this property
`boolean[]`	`getAttributes()`
`java.lang.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()`
`java.lang.String`	`getMeanStddev()` returns the current mean/stddev setup
`double[]`	`getMeanValue()`
`int`	`getMinInstNum()` Gets the lower boundary for instances per cluster.
`double[]`	`getMinValue()`
`int`	`getNumInstances()`
`java.lang.String[]`	`getOptions()` Gets the current settings of the datagenerator BIRCHCluster.
`java.lang.String`	`getRevision()` Returns the revision string.
`double[]`	`getStddevValue()`
`java.lang.String`	`getValuesList()` returns the range for each attribute as string
`java.lang.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
`java.util.Enumeration`	`listOptions()` Returns an enumeration describing the available options.
`java.lang.String`	`maxInstNumTipText()` Returns the tip text for this property
`java.lang.String`	`meanStddevTipText()` Returns the tip text for this property
`java.lang.String`	`minInstNumTipText()` Returns the tip text for this property
`void`	`setAttrIndexRange(java.lang.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(java.lang.String meanstddev)` Sets mean and standarddeviation.
`void`	`setMinInstNum(int newMinInstNum)` Sets the lower boundary for instances per cluster.
`void`	`setNumInstances(java.util.Random r)` Sets the real number of instances for this cluster.
`void`	`setOptions(java.lang.String[] options)` Parses a list of options for this object.
`void`	`setParent(SubspaceCluster parent)` sets the parent datagenerator this cluster belongs to
`void`	`setValuesList(java.lang.String fromToList)` Sets the ranges for each attribute.
`void`	`setValuesList(java.lang.String fromToList, double[] first, double[] second, java.lang.String optionLetter)` Sets the ranges for each attribute.
`java.lang.String`	`toString()` Make a string from the cluster features.
`java.lang.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 java.lang.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 java.util.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(java.lang.String[] options)
                throws java.lang.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:
    
    java.lang.Exception - if an option is not supported
  - getOptions
```
public java.lang.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 java.lang.String attributesToString()
```
    Make a string from the attribues list.
    
    Returns:
    
    the attributes as string
  - toString
```
public java.lang.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(java.lang.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 java.lang.String getAttrIndexRange()
```
    returns the attribute range(s).
    
    Returns:
    
    the attribute range(s).
  - attrIndexRangeTipText
```
public java.lang.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 java.lang.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 java.lang.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 java.lang.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 java.lang.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(java.util.Random r)
```
    Sets the real number of instances for this cluster.
    
    Parameters:
    
    r - random number generator
  - setValuesList
```
public void setValuesList(java.lang.String fromToList)
                   throws java.lang.Exception
```
    Sets the ranges for each attribute.
    
    Parameters:
    
    fromToList - the string containing the upper and lower boundary for instances per cluster separated by ..
    
    Throws:
    
    java.lang.Exception - if values are not correct in number or value
  - getValuesList
```
public java.lang.String getValuesList()
```
    returns the range for each attribute as string
  - valuesListTipText
```
public java.lang.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(java.lang.String meanstddev)
                   throws java.lang.Exception
```
    Sets mean and standarddeviation.
    
    Parameters:
    
    meanstddev - the string containing the upper and lower boundary for instances per cluster separated by ..
    
    Throws:
    
    java.lang.Exception - if values are not correct in number or value
  - getMeanStddev
```
public java.lang.String getMeanStddev()
```
    returns the current mean/stddev setup
  - meanStddevTipText
```
public java.lang.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(java.lang.String fromToList,
                          double[] first,
                          double[] second,
                          java.lang.String optionLetter)
                   throws java.lang.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:
    
    java.lang.Exception - if values are not correct in number or value
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Returns:
    
    the revision

Class SubspaceClusterDefinition

Constructor Summary

Method Summary

Methods inherited from class weka.datagenerators.ClusterDefinition

Methods inherited from class java.lang.Object

Constructor Detail

SubspaceClusterDefinition

SubspaceClusterDefinition

Method Detail

globalInfo

listOptions

setOptions

getOptions

attributesToString

toString

setParent

setAttrIndexRange

getAttrIndexRange

attrIndexRangeTipText

getAttributes

getMinValue

getMaxValue

getMeanValue

getStddevValue

getNumInstances

getClusterType

setClusterType

clusterTypeTipText

getClusterSubType

setClusterSubType

clusterSubTypeTipText

isRandom

isUniform

isGaussian

isContinuous

isInteger

getMinInstNum

setMinInstNum

minInstNumTipText

getMaxInstNum

setMaxInstNum

maxInstNumTipText

setNumInstances

setValuesList

getValuesList

valuesListTipText

setMeanStddev

getMeanStddev

meanStddevTipText

setValuesList

getRevision