weka.filters.unsupervised.attribute
Class ClusterMembership

java.lang.Object
  weka.filters.Filter
      weka.filters.unsupervised.attribute.ClusterMembership

All Implemented Interfaces:

OptionHandler, java.io.Serializable, UnsupervisedFilter

public class ClusterMembership

extends Filter

implements UnsupervisedFilter, OptionHandler

A filter that uses a clusterer to obtain cluster membership probabilites for each input instance and outputs them as new instances.

Valid filter-specific options are:

Full class name of clusterer to use. Clusterer options may be specified at the end following a -- .(required)

-I range string
The range of attributes the clusterer should ignore. Note: the class attribute (if set) is automatically ignored during clustering.

Version:

$Revision: 1.4 $

Author:

Mark Hall (mhall@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

protected DensityBasedClusterer	m_clusterer The clusterer
protected Range	m_ignoreAttributesRange Range of attributes to ignore
protected Filter	m_removeAttributes Filter for removing attributes

Fields inherited from class weka.filters.Filter

m_NewBatch

Constructor Summary

ClusterMembership()

Method Summary

boolean	batchFinished() Signify that this batch of input to the filter is finished.
java.lang.String	clustererTipText() Returns a description of this option suitable for display as a tip text in the gui.
protected void	convertInstance(Instance instance) Convert a single instance over.
DensityBasedClusterer	getDensityBasedClusterer() Get the clusterer used by this filter
java.lang.String	getIgnoredAttributeIndices() Gets ranges of attributes to be ignored.
java.lang.String[]	getOptions() Gets the current settings of the filter.
java.lang.String	globalInfo() Returns a string describing this filter
java.lang.String	ignoredAttributeIndicesTipText() Returns the tip text for this property
boolean	input(Instance instance) Input an instance for filtering.
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
protected double[]	logs2densities(Instance in) Converts logs back to density values.
static void	main(java.lang.String[] argv) Main method for testing this class.
void	setDensityBasedClusterer(DensityBasedClusterer newClusterer) Set the clusterer for use in filtering
void	setIgnoredAttributeIndices(java.lang.String rangeList) Sets the ranges of attributes to be ignored.
boolean	setInputFormat(Instances instanceInfo) Sets the format of the input instances.
void	setOptions(java.lang.String[] options) Parses the options for this object.

Methods inherited from class weka.filters.Filter

batchFilterFile, bufferInput, copyStringValues, copyStringValues, filterFile, flushInput, getInputFormat, getInputStringIndex, getOutputFormat, getOutputStringIndex, getStringIndices, inputFormat, inputFormatPeek, isOutputFormatDefined, numPendingOutput, output, outputFormat, outputFormatPeek, outputPeek, push, resetQueue, setOutputFormat, useFilter

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

m_clusterer

protected DensityBasedClusterer m_clusterer

The clusterer

m_ignoreAttributesRange

protected Range m_ignoreAttributesRange

Range of attributes to ignore

m_removeAttributes

protected Filter m_removeAttributes

Filter for removing attributes

Constructor Detail

ClusterMembership

public ClusterMembership()

Method Detail

setInputFormat

public boolean setInputFormat(Instances instanceInfo)
                       throws java.lang.Exception

Sets the format of the input instances.

Overrides:

setInputFormat in class Filter

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

batchFinished

public boolean batchFinished()
                      throws java.lang.Exception

Signify that this batch of input to the filter is finished.

Overrides:

batchFinished in class Filter

Returns:

true if there are instances pending output

Throws:

java.lang.IllegalStateException - if no input structure has been defined

java.lang.Exception - if there was a problem finishing the batch.

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:

input in class Filter

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.Exception - if the input instance was not of the correct format or if there was a problem with the filtering.

logs2densities

protected double[] logs2densities(Instance in)
                           throws java.lang.Exception

Converts logs back to density values.

Throws:

java.lang.Exception

convertInstance

protected void convertInstance(Instance instance)
                        throws java.lang.Exception

Convert a single instance over. The converted instance is added to the end of the output queue.

Parameters:

instance - the instance to convert

Throws:

java.lang.Exception

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses the options for this object. Valid options are:

-W clusterer string
Full class name of clusterer to use. Clusterer options may be specified at the end following a -- .(required)

-I range string
The range of attributes the clusterer should ignore. Note: the class attribute (if set) is automatically ignored during clustering.

Specified by:

setOptions in interface OptionHandler

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 filter.

Specified by:

getOptions in interface OptionHandler

Returns:

an array of strings suitable for passing to setOptions

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

clustererTipText

public java.lang.String clustererTipText()

Returns a description of this option suitable for display as a tip text in the gui.

Returns:

description of this option

setDensityBasedClusterer

public void setDensityBasedClusterer(DensityBasedClusterer newClusterer)

Set the clusterer for use in filtering

Parameters:

newClusterer - the clusterer to use

getDensityBasedClusterer

public DensityBasedClusterer getDensityBasedClusterer()

Get the clusterer used by this filter

Returns:

the clusterer used

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

getIgnoredAttributeIndices

public java.lang.String getIgnoredAttributeIndices()

Gets ranges of attributes to be ignored.

Returns:

a string containing a comma-separated list of ranges

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

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