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## weka.datagenerators.clusterers
Class 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
`SubspaceClusterDefinition()` initializes the cluster, without a parent cluster (necessary for GOE)
`SubspaceClusterDefinition(ClusterGenerator parent)` initializes the cluster with default values

Method Summary
`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

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