Package weka.datagenerators.clusterers
Class SubspaceClusterDefinition
- java.lang.Object
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- weka.datagenerators.ClusterDefinition
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- weka.datagenerators.clusterers.SubspaceClusterDefinition
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- 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
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Constructor Summary
Constructors Constructor Description SubspaceClusterDefinition()
initializes the cluster, without a parent cluster (necessary for GOE)SubspaceClusterDefinition(ClusterGenerator parent)
initializes the cluster with default values
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description java.lang.String
attributesToString()
Make a string from the attribues list.java.lang.String
attrIndexRangeTipText()
Returns the tip text for this propertyjava.lang.String
clusterSubTypeTipText()
Returns the tip text for this propertyjava.lang.String
clusterTypeTipText()
Returns the tip text for this propertyboolean[]
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 setupdouble[]
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 stringjava.lang.String
globalInfo()
Returns a string describing this data generator.boolean
isContinuous()
checks, whether cluster sub type is continuousboolean
isGaussian()
checks, whether cluster type is gaussianboolean
isInteger()
checks, whether cluster sub type is integerboolean
isRandom()
checks, whether cluster type is randomboolean
isUniform()
checks, whether cluster type is uniformjava.util.Enumeration
listOptions()
Returns an enumeration describing the available options.java.lang.String
maxInstNumTipText()
Returns the tip text for this propertyjava.lang.String
meanStddevTipText()
Returns the tip text for this propertyjava.lang.String
minInstNumTipText()
Returns the tip text for this propertyvoid
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 tovoid
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
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Constructor Detail
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SubspaceClusterDefinition
public SubspaceClusterDefinition()
initializes the cluster, without a parent cluster (necessary for GOE)
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SubspaceClusterDefinition
public SubspaceClusterDefinition(ClusterGenerator parent)
initializes the cluster with default values- Parameters:
parent
- the datagenerator this cluster belongs to
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Method Detail
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globalInfo
public java.lang.String globalInfo()
Returns a string describing this data generator.- Overrides:
globalInfo
in classClusterDefinition
- Returns:
- a description of the data generator suitable for displaying in the explorer/experimenter gui
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Specified by:
listOptions
in classClusterDefinition
- Returns:
- an enumeration of all the available options
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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 interfaceOptionHandler
- Specified by:
setOptions
in classClusterDefinition
- Parameters:
options
- the list of options as an array of strings- Throws:
java.lang.Exception
- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the datagenerator BIRCHCluster.- Specified by:
getOptions
in interfaceOptionHandler
- Specified by:
getOptions
in classClusterDefinition
- Returns:
- an array of strings suitable for passing to setOptions
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attributesToString
public java.lang.String attributesToString()
Make a string from the attribues list.- Returns:
- the attributes as string
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toString
public java.lang.String toString()
Make a string from the cluster features.- Overrides:
toString
in classClusterDefinition
- Returns:
- the cluster features as string
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setParent
public void setParent(SubspaceCluster parent)
sets the parent datagenerator this cluster belongs to- Parameters:
parent
- the parent datagenerator
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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
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getAttrIndexRange
public java.lang.String getAttrIndexRange()
returns the attribute range(s).- Returns:
- the attribute range(s).
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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
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getAttributes
public boolean[] getAttributes()
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getMinValue
public double[] getMinValue()
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getMaxValue
public double[] getMaxValue()
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getMeanValue
public double[] getMeanValue()
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getStddevValue
public double[] getStddevValue()
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getNumInstances
public int getNumInstances()
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getClusterType
public SelectedTag getClusterType()
Gets the cluster type.- Returns:
- the cluster type
- See Also:
SubspaceCluster.TAGS_CLUSTERTYPE
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setClusterType
public void setClusterType(SelectedTag value)
Sets the cluster type.- Parameters:
value
- the new cluster type.- See Also:
SubspaceCluster.TAGS_CLUSTERTYPE
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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
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getClusterSubType
public SelectedTag getClusterSubType()
Gets the cluster sub type.- Returns:
- the cluster sub type
- See Also:
SubspaceCluster.TAGS_CLUSTERSUBTYPE
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setClusterSubType
public void setClusterSubType(SelectedTag value)
Sets the cluster sub type.- Parameters:
value
- the new cluster sub type.- See Also:
SubspaceCluster.TAGS_CLUSTERSUBTYPE
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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
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isRandom
public boolean isRandom()
checks, whether cluster type is random- Returns:
- true if cluster type is random
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isUniform
public boolean isUniform()
checks, whether cluster type is uniform- Returns:
- true if cluster type is uniform
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isGaussian
public boolean isGaussian()
checks, whether cluster type is gaussian- Returns:
- true if cluster type is gaussian
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isContinuous
public boolean isContinuous()
checks, whether cluster sub type is continuous- Returns:
- true if cluster sub type is continuous
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isInteger
public boolean isInteger()
checks, whether cluster sub type is integer- Returns:
- true if cluster sub type is integer
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getMinInstNum
public int getMinInstNum()
Gets the lower boundary for instances per cluster.- Returns:
- the the lower boundary for instances per cluster
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setMinInstNum
public void setMinInstNum(int newMinInstNum)
Sets the lower boundary for instances per cluster.- Parameters:
newMinInstNum
- new lower boundary for instances per cluster
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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
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getMaxInstNum
public int getMaxInstNum()
Gets the upper boundary for instances per cluster.- Returns:
- the upper boundary for instances per cluster
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setMaxInstNum
public void setMaxInstNum(int newMaxInstNum)
Sets the upper boundary for instances per cluster.- Parameters:
newMaxInstNum
- new upper boundary for instances per cluster
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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
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setNumInstances
public void setNumInstances(java.util.Random r)
Sets the real number of instances for this cluster.- Parameters:
r
- random number generator
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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
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getValuesList
public java.lang.String getValuesList()
returns the range for each attribute as string
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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
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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
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getMeanStddev
public java.lang.String getMeanStddev()
returns the current mean/stddev setup
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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
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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
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Returns:
- the revision
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