Class ClusterCenters
- 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.ClusterCenters
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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 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.
For numeric attributes the mean is calculated (or median, if 'useMedian' is enabled). For nominal attributes, the most common value is used.
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
-use-median <boolean> (property: useMedian) If enabled, the median instead of the mean is calculated for numeric attributes. 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_UseMedian
compute median instead of mean.-
Fields inherited from class adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor
VALUE_CLUSTERED_DATASET
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Constructor Summary
Constructors Constructor Description ClusterCenters()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description 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).void
defineOptions()
Adds options to the internal list of options.boolean
getUseMedian()
Returns whether to use the median instead of the mean.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.void
setUseMedian(boolean value)
Sets whether to use the median instead of the mean.String
useMedianTipText()
Returns the tip text for this property.-
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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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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setUseMedian
public void setUseMedian(boolean value)
Sets whether to use the median instead of the mean.- Parameters:
value
- true if to use median
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getUseMedian
public boolean getUseMedian()
Returns whether to use the median instead of the mean.- Returns:
- true if to use median
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useMedianTipText
public String useMedianTipText()
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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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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calculateCenters
protected weka.core.Instances calculateCenters(weka.core.Instances data, weka.clusterers.Clusterer clusterer, weka.core.Instances outputFormat)
Calculates the centers.- Parameters:
data
- the input data used for training the clustererclusterer
- the built clustereroutputFormat
- the format to use for the output- Returns:
- the generated output
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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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