Class AddCluster
- 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.AddCluster
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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 AddCluster extends AbstractClusterMembershipPostProcessor
Just adds the predicted cluster (or distribution) to the original dataset.
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
-output-distribution <boolean> (property: outputDistribution) If enabled, the cluster distribution is output instead of the cluster index. default: false
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected boolean
m_OutputDistribution
output distribution instead of cluster index.static String
PREDICTED_CLUSTER
static String
PREDICTED_DISTRIBUTION
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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 AddCluster()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
defineOptions()
Adds options to the internal list of options.boolean
getOutputDistribution()
Returns whether to output the cluster distribution instead of the cluster index.String
globalInfo()
Returns a string describing the object.String
outputDistributionTipText()
Returns the tip text for this property.protected weka.core.Instances
processDatasetWithClusterer(weka.core.Instances data, weka.clusterers.Clusterer clusterer)
Performs some form of processing on the full dataset.void
setOutputDistribution(boolean value)
Sets whether to output the cluster distribution instead of the cluster index.-
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, 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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Field Detail
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PREDICTED_CLUSTER
public static final String PREDICTED_CLUSTER
- See Also:
- Constant Field Values
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PREDICTED_DISTRIBUTION
public static final String PREDICTED_DISTRIBUTION
- See Also:
- Constant Field Values
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m_OutputDistribution
protected boolean m_OutputDistribution
output distribution instead of cluster index.
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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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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptions
in interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classadams.core.option.AbstractOptionHandler
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setOutputDistribution
public void setOutputDistribution(boolean value)
Sets whether to output the cluster distribution instead of the cluster index.- Parameters:
value
- true if to output distribution
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getOutputDistribution
public boolean getOutputDistribution()
Returns whether to output the cluster distribution instead of the cluster index.- Returns:
- true if to output distribution
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outputDistributionTipText
public String outputDistributionTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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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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