Package weka.clusterers
Class CLOPE
- java.lang.Object
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- weka.clusterers.AbstractClusterer
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- weka.clusterers.CLOPE
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,Clusterer
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
,TechnicalInformationHandler
public class CLOPE extends AbstractClusterer implements OptionHandler, TechnicalInformationHandler
Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data. In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 682-687, 2002. BibTeX:@inproceedings{Yang2002, author = {Yiling Yang and Xudong Guan and Jinyuan You}, booktitle = {Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining}, pages = {682-687}, publisher = {ACM New York, NY, USA}, title = {CLOPE: a fast and effective clustering algorithm for transactional data}, year = {2002} }
Valid options are:-R <num> Repulsion (default 2.6)
- Version:
- $Revision: 5538 $
- Author:
- Alexander Smirnov (austellus@gmail.com)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description java.util.ArrayList<weka.clusterers.CLOPE.CLOPECluster>
clusters
Array of clusters
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Constructor Summary
Constructors Constructor Description CLOPE()
the default constructor
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description int
AddInstanceToBestCluster(Instance inst)
Add instance to best clustervoid
buildClusterer(Instances data)
Generate Clustering via CLOPEint
clusterInstance(Instance instance)
Classifies a given instance.Capabilities
getCapabilities()
Returns default capabilities of the clusterer.java.lang.String[]
getOptions()
Gets the current settings of CLOPEdouble
getRepulsion()
gets the repulsionjava.lang.String
getRevision()
Returns the revision string.TechnicalInformation
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.java.lang.String
globalInfo()
Returns a string describing this DataMining-Algorithmjava.util.Enumeration
listOptions()
Returns an enumeration of all the available options..static void
main(java.lang.String[] argv)
Main method for testing this class.int
MoveInstanceToBestCluster(Instance inst)
Move instance to best clusterint
numberOfClusters()
Returns the number of clusters.java.lang.String
repulsionTipText()
Returns the tip text for this propertyvoid
setOptions(java.lang.String[] options)
Parses a given list of options.void
setRepulsion(double value)
set the repulsionjava.lang.String
toString()
return a string describing this clusterer-
Methods inherited from class weka.clusterers.AbstractClusterer
distributionForInstance, forName, makeCopies, makeCopy
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Method Detail
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numberOfClusters
public int numberOfClusters()
Description copied from class:AbstractClusterer
Returns the number of clusters.- Specified by:
numberOfClusters
in interfaceClusterer
- Specified by:
numberOfClusters
in classAbstractClusterer
- Returns:
- the number of clusters generated for a training dataset.
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listOptions
public java.util.Enumeration listOptions()
Description copied from interface:OptionHandler
Returns an enumeration of all the available options..- Specified by:
listOptions
in interfaceOptionHandler
- Returns:
- an enumeration of all available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.Exception
Parses a given list of options. Valid options are:-R <num> Repulsion (default 2.6)
- Specified by:
setOptions
in interfaceOptionHandler
- 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 CLOPE- Specified by:
getOptions
in interfaceOptionHandler
- Returns:
- an array of strings suitable for passing to setOptions()
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repulsionTipText
public java.lang.String repulsionTipText()
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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setRepulsion
public void setRepulsion(double value)
set the repulsion- Parameters:
value
- the repulsion- Throws:
java.lang.Exception
- if number of clusters is negative
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getRepulsion
public double getRepulsion()
gets the repulsion- Returns:
- the repulsion
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getCapabilities
public Capabilities getCapabilities()
Returns default capabilities of the clusterer.- Specified by:
getCapabilities
in interfaceCapabilitiesHandler
- Specified by:
getCapabilities
in interfaceClusterer
- Overrides:
getCapabilities
in classAbstractClusterer
- Returns:
- the capabilities of this clusterer
- See Also:
Capabilities
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buildClusterer
public void buildClusterer(Instances data) throws java.lang.Exception
Generate Clustering via CLOPE- Specified by:
buildClusterer
in interfaceClusterer
- Specified by:
buildClusterer
in classAbstractClusterer
- Parameters:
instances
- The instances that need to be clustered- Throws:
java.lang.Exception
- If clustering was not successful
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AddInstanceToBestCluster
public int AddInstanceToBestCluster(Instance inst)
Add instance to best cluster
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MoveInstanceToBestCluster
public int MoveInstanceToBestCluster(Instance inst)
Move instance to best cluster
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clusterInstance
public int clusterInstance(Instance instance) throws java.lang.Exception
Classifies a given instance.- Specified by:
clusterInstance
in interfaceClusterer
- Overrides:
clusterInstance
in classAbstractClusterer
- Parameters:
instance
- The instance to be assigned to a cluster- Returns:
- int The number of the assigned cluster as an integer
- Throws:
java.lang.Exception
- If instance could not be clustered successfully
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toString
public java.lang.String toString()
return a string describing this clusterer- Overrides:
toString
in classjava.lang.Object
- Returns:
- a description of the clusterer as a string
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globalInfo
public java.lang.String globalInfo()
Returns a string describing this DataMining-Algorithm- Returns:
- String Information for the gui-explorer
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getTechnicalInformation
public TechnicalInformation getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.- Specified by:
getTechnicalInformation
in interfaceTechnicalInformationHandler
- Returns:
- the technical information about this class
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classAbstractClusterer
- Returns:
- the revision
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main
public static void main(java.lang.String[] argv)
Main method for testing this class.- Parameters:
argv
- should contain the following arguments:-t training file [-R repulsion]
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