Package adams.flow.transformer.wekaclusterer

Class ClusterCounts

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor

adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor

adams.flow.transformer.wekaclusterer.ClusterCounts

All Implemented Interfaces:

AdditionalInformationHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, 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

Field Summary

Fields inherited from class adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor

VALUE_CLUSTERED_DATASET

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
ClusterCounts()

Method Summary

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

Methods inherited from class adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor

getAdditionalInformation, postProcess

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, defineOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Constructor Detail

ClusterCounts

public ClusterCounts()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

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

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 class AbstractClusterMembershipPostProcessor