Package weka.clusterers
Class Cobweb
- java.lang.Object
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- weka.clusterers.AbstractClusterer
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- weka.clusterers.RandomizableClusterer
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- weka.clusterers.Cobweb
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,Clusterer
,UpdateableClusterer
,CapabilitiesHandler
,Drawable
,OptionHandler
,Randomizable
,RevisionHandler
,TechnicalInformationHandler
public class Cobweb extends RandomizableClusterer implements Drawable, TechnicalInformationHandler, UpdateableClusterer
Class implementing the Cobweb and Classit clustering algorithms.
Note: the application of node operators (merging, splitting etc.) in terms of ordering and priority differs (and is somewhat ambiguous) between the original Cobweb and Classit papers. This algorithm always compares the best host, adding a new leaf, merging the two best hosts, and splitting the best host when considering where to place a new instance.
For more information see:
D. Fisher (1987). Knowledge acquisition via incremental conceptual clustering. Machine Learning. 2(2):139-172.
J. H. Gennari, P. Langley, D. Fisher (1990). Models of incremental concept formation. Artificial Intelligence. 40:11-61. BibTeX:@article{Fisher1987, author = {D. Fisher}, journal = {Machine Learning}, number = {2}, pages = {139-172}, title = {Knowledge acquisition via incremental conceptual clustering}, volume = {2}, year = {1987} } @article{Gennari1990, author = {J. H. Gennari and P. Langley and D. Fisher}, journal = {Artificial Intelligence}, pages = {11-61}, title = {Models of incremental concept formation}, volume = {40}, year = {1990} }
Valid options are:-A <acuity> Acuity. (default=1.0)
-C <cutoff> Cutoff. (default=0.002)
-S <num> Random number seed. (default 42)
- Version:
- $Revision: 6790 $
- Author:
- Mark Hall
- See Also:
RandomizableClusterer
,Drawable
, Serialized Form
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Field Summary
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Fields inherited from interface weka.core.Drawable
BayesNet, Newick, NOT_DRAWABLE, TREE
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Constructor Summary
Constructors Constructor Description Cobweb()
default constructor
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Deprecated Methods Modifier and Type Method Description java.lang.String
acuityTipText()
Returns the tip text for this propertyvoid
addInstance(Instance newInstance)
Deprecated.updateClusterer(Instance) should be used insteadvoid
buildClusterer(Instances data)
Builds the clusterer.int
clusterInstance(Instance instance)
Classifies a given instance.java.lang.String
cutoffTipText()
Returns the tip text for this propertydouble
getAcuity()
get the acuity valueCapabilities
getCapabilities()
Returns default capabilities of the clusterer.double
getCutoff()
get the cutoffjava.lang.String[]
getOptions()
Gets the current settings of Cobweb.java.lang.String
getRevision()
Returns the revision string.boolean
getSaveInstanceData()
Get the value of saveInstances.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 clustererjava.lang.String
graph()
Generates the graph string of the Cobweb treeint
graphType()
Returns the type of graphs this class representsjava.util.Enumeration
listOptions()
Returns an enumeration describing the available options.static void
main(java.lang.String[] argv)
Main method.int
numberOfClusters()
Returns the number of clusters.java.lang.String
saveInstanceDataTipText()
Returns the tip text for this propertyjava.lang.String
seedTipText()
Returns the tip text for this propertyvoid
setAcuity(double a)
set the acuity.void
setCutoff(double c)
set the cutoffvoid
setOptions(java.lang.String[] options)
Parses a given list of options.void
setSaveInstanceData(boolean newsaveInstances)
Set the value of saveInstances.java.lang.String
toString()
Returns a description of the clusterer as a string.void
updateClusterer(Instance newInstance)
Adds an instance to the clusterer.void
updateFinished()
Singals the end of the updating.-
Methods inherited from class weka.clusterers.RandomizableClusterer
getSeed, setSeed
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Methods inherited from class weka.clusterers.AbstractClusterer
distributionForInstance, forName, makeCopies, makeCopy
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Method Detail
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globalInfo
public java.lang.String globalInfo()
Returns a string describing this clusterer- Returns:
- a description of the evaluator suitable for displaying in the explorer/experimenter gui
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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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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
Builds the clusterer.- Specified by:
buildClusterer
in interfaceClusterer
- Specified by:
buildClusterer
in classAbstractClusterer
- Parameters:
data
- the training instances.- Throws:
java.lang.Exception
- if something goes wrong.
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updateFinished
public void updateFinished()
Singals the end of the updating.- Specified by:
updateFinished
in interfaceUpdateableClusterer
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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:
- the number of the assigned cluster as an interger if the class is enumerated, otherwise the predicted value
- Throws:
java.lang.Exception
- if instance could not be classified successfully
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numberOfClusters
public int numberOfClusters()
Returns the number of clusters.- Specified by:
numberOfClusters
in interfaceClusterer
- Specified by:
numberOfClusters
in classAbstractClusterer
- Returns:
- the number of clusters
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updateClusterer
public void updateClusterer(Instance newInstance) throws java.lang.Exception
Adds an instance to the clusterer.- Specified by:
updateClusterer
in interfaceUpdateableClusterer
- Parameters:
newInstance
- the instance to be added- Throws:
java.lang.Exception
- if something goes wrong
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addInstance
public void addInstance(Instance newInstance) throws java.lang.Exception
Deprecated.updateClusterer(Instance) should be used insteadAdds an instance to the Cobweb tree.- Parameters:
newInstance
- the instance to be added- Throws:
java.lang.Exception
- if something goes wrong- See Also:
updateClusterer(Instance)
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classRandomizableClusterer
- 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 given list of options. Valid options are:-A <acuity> Acuity. (default=1.0)
-C <cutoff> Cutoff. (default=0.002)
-S <num> Random number seed. (default 42)
- Specified by:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in classRandomizableClusterer
- 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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acuityTipText
public java.lang.String acuityTipText()
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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setAcuity
public void setAcuity(double a)
set the acuity.- Parameters:
a
- the acuity value
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getAcuity
public double getAcuity()
get the acuity value- Returns:
- the acuity
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cutoffTipText
public java.lang.String cutoffTipText()
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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setCutoff
public void setCutoff(double c)
set the cutoff- Parameters:
c
- the cutof
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getCutoff
public double getCutoff()
get the cutoff- Returns:
- the cutoff
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saveInstanceDataTipText
public java.lang.String saveInstanceDataTipText()
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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getSaveInstanceData
public boolean getSaveInstanceData()
Get the value of saveInstances.- Returns:
- Value of saveInstances.
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setSaveInstanceData
public void setSaveInstanceData(boolean newsaveInstances)
Set the value of saveInstances.- Parameters:
newsaveInstances
- Value to assign to saveInstances.
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of Cobweb.- Specified by:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classRandomizableClusterer
- Returns:
- an array of strings suitable for passing to setOptions()
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toString
public java.lang.String toString()
Returns a description of the clusterer as a string.- Overrides:
toString
in classjava.lang.Object
- Returns:
- a string describing the clusterer.
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graphType
public int graphType()
Returns the type of graphs this class represents
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graph
public java.lang.String graph() throws java.lang.Exception
Generates the graph string of the Cobweb tree
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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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seedTipText
public java.lang.String seedTipText()
Returns the tip text for this property- Overrides:
seedTipText
in classRandomizableClusterer
- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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main
public static void main(java.lang.String[] argv)
Main method.- Parameters:
argv
- the commandline options
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