Class ClusterCounts
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor
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- adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor
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- adams.flow.transformer.wekaclusterer.ClusterCounts
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- All Implemented Interfaces:
adams.core.AdditionalInformationHandler
,adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.SizeOfHandler
,Serializable
public class ClusterCounts extends AbstractClusterMembershipPostProcessor
Creates an overview of how many instances get clustered into each cluster.
Stored in container under: Clustered dataset
-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel) The logging level for outputting errors and debugging output. default: WARNING
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor
VALUE_CLUSTERED_DATASET
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Constructor Summary
Constructors Constructor Description ClusterCounts()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected weka.core.Instances
createOutputFormat(weka.core.Instances data)
Generates the output format (additional attribute for cluster index).String
globalInfo()
Returns a string describing the object.protected weka.core.Instances
processDatasetWithClusterer(weka.core.Instances data, weka.clusterers.Clusterer clusterer)
Performs some form of processing on the full dataset.-
Methods inherited from class adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor
check, doPostProcess, getContainerKeys
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Methods inherited from class adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor
getAdditionalInformation, postProcess
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, defineOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.core.option.AbstractOptionHandler
- Returns:
- a description suitable for displaying in the gui
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createOutputFormat
protected weka.core.Instances createOutputFormat(weka.core.Instances data)
Generates the output format (additional attribute for cluster index).- Parameters:
data
- the original input data- Returns:
- the header of the output format
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processDatasetWithClusterer
protected weka.core.Instances processDatasetWithClusterer(weka.core.Instances data, weka.clusterers.Clusterer clusterer)
Performs some form of processing on the full dataset.- Specified by:
processDatasetWithClusterer
in classAbstractClusterMembershipPostProcessor
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