Class AddCluster
- java.lang.Object
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- weka.filters.Filter
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- weka.filters.unsupervised.attribute.AddCluster
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- All Implemented Interfaces:
java.io.Serializable,CapabilitiesHandler,OptionHandler,RevisionHandler,UnsupervisedFilter
public class AddCluster extends Filter implements UnsupervisedFilter, OptionHandler
A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specified clustering algorithm. Valid options are:-W <clusterer specification> Full class name of clusterer to use, followed by scheme options. eg: "weka.clusterers.SimpleKMeans -N 3" (default: weka.clusterers.SimpleKMeans)
-I <att1,att2-att4,...> The range of attributes the clusterer should ignore.
- Version:
- $Revision: 1.13 $
- Author:
- Richard Kirkby (rkirkby@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description AddCluster()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description booleanbatchFinished()Signify that this batch of input to the filter is finished.java.lang.StringclustererTipText()Returns the tip text for this propertyCapabilitiesgetCapabilities()Returns the Capabilities of this filter.CapabilitiesgetCapabilities(Instances data)Returns the Capabilities of this filter, makes sure that the class is never set (for the clusterer).ClusterergetClusterer()Gets the clusterer used by the filter.java.lang.StringgetIgnoredAttributeIndices()Gets ranges of attributes to be ignored.java.lang.String[]getOptions()Gets the current settings of the filter.java.lang.StringgetRevision()Returns the revision string.java.lang.StringglobalInfo()Returns a string describing this filterjava.lang.StringignoredAttributeIndicesTipText()Returns the tip text for this propertybooleaninput(Instance instance)Input an instance for filtering.java.util.EnumerationlistOptions()Returns an enumeration describing the available options.static voidmain(java.lang.String[] argv)Main method for testing this class.voidsetClusterer(Clusterer clusterer)Sets the clusterer to assign clusters with.voidsetIgnoredAttributeIndices(java.lang.String rangeList)Sets the ranges of attributes to be ignored.booleansetInputFormat(Instances instanceInfo)Sets the format of the input instances.voidsetOptions(java.lang.String[] options)Parses a given list of options.-
Methods inherited from class weka.filters.Filter
batchFilterFile, filterFile, getOutputFormat, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, numPendingOutput, output, outputPeek, toString, useFilter, wekaStaticWrapper
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Method Detail
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getCapabilities
public Capabilities getCapabilities(Instances data)
Returns the Capabilities of this filter, makes sure that the class is never set (for the clusterer).- Overrides:
getCapabilitiesin classFilter- Parameters:
data- the data to use for customization- Returns:
- the capabilities of this object, based on the data
- See Also:
getCapabilities()
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getCapabilities
public Capabilities getCapabilities()
Returns the Capabilities of this filter.- Specified by:
getCapabilitiesin interfaceCapabilitiesHandler- Overrides:
getCapabilitiesin classFilter- Returns:
- the capabilities of this object
- See Also:
Capabilities
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setInputFormat
public boolean setInputFormat(Instances instanceInfo) throws java.lang.Exception
Sets the format of the input instances.- Overrides:
setInputFormatin classFilter- Parameters:
instanceInfo- an Instances object containing the input instance structure (any instances contained in the object are ignored - only the structure is required).- Returns:
- true if the outputFormat may be collected immediately
- Throws:
java.lang.Exception- if the inputFormat can't be set successfully
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batchFinished
public boolean batchFinished() throws java.lang.ExceptionSignify that this batch of input to the filter is finished.- Overrides:
batchFinishedin classFilter- Returns:
- true if there are instances pending output
- Throws:
java.lang.IllegalStateException- if no input structure has been definedjava.lang.NullPointerException- if no input structure has been defined,java.lang.Exception- if there was a problem finishing the batch.
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input
public boolean input(Instance instance) throws java.lang.Exception
Input an instance for filtering. Ordinarily the instance is processed and made available for output immediately. Some filters require all instances be read before producing output.- Overrides:
inputin classFilter- Parameters:
instance- the input instance- Returns:
- true if the filtered instance may now be collected with output().
- Throws:
java.lang.IllegalStateException- if no input format has been defined.java.lang.NullPointerException- if the input format has not been defined.java.lang.Exception- if the input instance was not of the correct format or if there was a problem with the filtering.
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptionsin interfaceOptionHandler- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.ExceptionParses a given list of options. Valid options are:-W <clusterer specification> Full class name of clusterer to use, followed by scheme options. eg: "weka.clusterers.SimpleKMeans -N 3" (default: weka.clusterers.SimpleKMeans)
-I <att1,att2-att4,...> The range of attributes the clusterer should ignore.
- Specified by:
setOptionsin 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 the filter.- Specified by:
getOptionsin interfaceOptionHandler- Returns:
- an array of strings suitable for passing to setOptions
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globalInfo
public java.lang.String globalInfo()
Returns a string describing this filter- Returns:
- a description of the filter suitable for displaying in the explorer/experimenter gui
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clustererTipText
public java.lang.String clustererTipText()
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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setClusterer
public void setClusterer(Clusterer clusterer)
Sets the clusterer to assign clusters with.- Parameters:
clusterer- The clusterer to be used (with its options set).
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getClusterer
public Clusterer getClusterer()
Gets the clusterer used by the filter.- Returns:
- The clusterer being used.
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ignoredAttributeIndicesTipText
public java.lang.String ignoredAttributeIndicesTipText()
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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getIgnoredAttributeIndices
public java.lang.String getIgnoredAttributeIndices()
Gets ranges of attributes to be ignored.- Returns:
- a string containing a comma-separated list of ranges
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setIgnoredAttributeIndices
public void setIgnoredAttributeIndices(java.lang.String rangeList)
Sets the ranges of attributes to be ignored. If provided string is null, no attributes will be ignored.- Parameters:
rangeList- a string representing the list of attributes. eg: first-3,5,6-last- Throws:
java.lang.IllegalArgumentException- if an invalid range list is supplied
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Overrides:
getRevisionin classFilter- 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 arguments to the filter: use -h for help
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