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java.lang.Objectweka.filters.Filter
weka.filters.unsupervised.attribute.AddCluster
public class AddCluster
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.
| Constructor Summary | |
|---|---|
AddCluster()
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| Method Summary | |
|---|---|
boolean |
batchFinished()
Signify that this batch of input to the filter is finished. |
java.lang.String |
clustererTipText()
Returns the tip text for this property |
Capabilities |
getCapabilities()
Returns the Capabilities of this filter. |
Capabilities |
getCapabilities(Instances data)
Returns the Capabilities of this filter, makes sure that the class is never set (for the clusterer). |
Clusterer |
getClusterer()
Gets the clusterer used by the 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 |
getRevision()
Returns the revision string. |
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. |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
void |
setClusterer(Clusterer clusterer)
Sets the clusterer to assign clusters with. |
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 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 |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public AddCluster()
| Method Detail |
|---|
public Capabilities getCapabilities(Instances data)
getCapabilities in class Filterdata - the data to use for customization
getCapabilities()public Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class FilterCapabilities
public boolean setInputFormat(Instances instanceInfo)
throws java.lang.Exception
setInputFormat in class FilterinstanceInfo - an Instances object containing the input instance
structure (any instances contained in the object are ignored - only the
structure is required).
java.lang.Exception - if the inputFormat can't be set successfully
public boolean batchFinished()
throws java.lang.Exception
batchFinished in class Filterjava.lang.IllegalStateException - if no input structure has been defined
java.lang.NullPointerException - if no input structure has been defined,
java.lang.Exception - if there was a problem finishing the batch.
public boolean input(Instance instance)
throws java.lang.Exception
input in class Filterinstance - the input instance
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.public java.util.Enumeration listOptions()
listOptions in interface OptionHandler
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-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.
setOptions in interface OptionHandleroptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlerpublic java.lang.String globalInfo()
public java.lang.String clustererTipText()
public void setClusterer(Clusterer clusterer)
clusterer - The clusterer to be used (with its options set).public Clusterer getClusterer()
public java.lang.String ignoredAttributeIndicesTipText()
public java.lang.String getIgnoredAttributeIndices()
public void setIgnoredAttributeIndices(java.lang.String rangeList)
rangeList - a string representing the list of attributes.
eg: first-3,5,6-last
java.lang.IllegalArgumentException - if an invalid range list is suppliedpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Filterpublic static void main(java.lang.String[] argv)
argv - should contain arguments to the filter: use -h for help
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