adams.flow.transformer.wekaclusterer
Class ClusterCenters

java.lang.Object
  adams.core.ConsoleObject
      adams.core.option.AbstractOptionHandler
          adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor
              adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor
                  adams.flow.transformer.wekaclusterer.ClusterCenters

All Implemented Interfaces:

AdditionalInformationHandler, Debuggable, Destroyable, OptionHandler, SizeOfHandler, Serializable

public class ClusterCenters
extends AbstractClusterMembershipPostProcessor

Computes the cluster centers for the provided dataset. An additional attribute is added to the dataset structure that contains the cluster index.
Only numeric attributes are considered when computing the centers.
Stored in container under: Clustered dataset

Valid options are:

-D <int> (property: debugLevel)
    The greater the number the more additional info the scheme may output to 
    the console (0 = off).
    default: 0
    minimum: 0
 

Version:

$Revision: 4995 $

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_DebugLevel, m_OptionManager

Constructor Summary

ClusterCenters()

Method Summary

protected weka.core.Instances	calculateCenters(weka.core.Instances data, weka.clusterers.Clusterer clusterer, weka.core.Instances outputFormat) Calculates the centers
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, debug, debug, debugLevelTipText, defineOptions, destroy, finishInit, getDebugLevel, getOptionManager, initialize, isDebugOn, newOptionManager, reset, setDebugLevel, toCommandLine, toString

Methods inherited from class adams.core.ConsoleObject

getDebugging, getSystemErr, getSystemOut, sizeOf

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusterCenters

public ClusterCenters()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

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

calculateCenters

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

Calculates the centers

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