Package adams.flow.transformer.wekaclusterer

Class ClusterStatistics

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.ClusterStatistics

All Implemented Interfaces:

AdditionalInformationHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable

public class ClusterStatistics
extends AbstractClusterMembershipPostProcessor

Computes cluster statistics (min/max/mean/stdev) for the provided dataset. An additional attribute is added to the dataset structure that indicates the cluster index and the statistic.
Only numeric attributes are considered when computing the statistics.
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
 

Version:

$Revision: 7171 $

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
ClusterStatistics()

Method Summary

Modifier and Type	Method	Description
protected weka.core.Instances	calculateStatistics(weka.core.Instances data, weka.clusterers.Clusterer clusterer, weka.core.Instances outputFormat)	Calculates the statistics.
protected weka.core.Instances	createOutputFormat(weka.core.Instances data)	Generates the output format (additional attribute for cluster index).
protected weka.core.DenseInstance	createRow(int index, String statistic, weka.core.Instances data)	Creates a new stats row.
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

ClusterStatistics

public ClusterStatistics()

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

createRow

protected weka.core.DenseInstance createRow(int index,
                                            String statistic,
                                            weka.core.Instances data)

Creates a new stats row.

Parameters:

index - the cluster index

statistic - the statistic's name

data - the data format

Returns:

the generated row

calculateStatistics

protected weka.core.Instances calculateStatistics(weka.core.Instances data,
                                                  weka.clusterers.Clusterer clusterer,
                                                  weka.core.Instances outputFormat)

Calculates the statistics.

Parameters:

data - the input data used for training the clusterer

clusterer - the built clusterer

outputFormat - the format to use for the output

Returns:

the generated output

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