Uses of Class
adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor

Packages that use AbstractClustererPostProcessor

Package	Description
adams.flow.transformer
adams.flow.transformer.wekaclusterer

Uses of AbstractClustererPostProcessor in adams.flow.transformer

Fields in adams.flow.transformer declared as AbstractClustererPostProcessor

Modifier and Type	Field	Description
protected AbstractClustererPostProcessor	WekaClustererPostProcessor.m_PostProcessor	the post-processor.
protected AbstractClustererPostProcessor	WekaTrainClusterer.BatchTrainJob.m_PostProcessor	the postprocessor.
protected AbstractClustererPostProcessor	WekaTrainClusterer.m_PostProcessor	the post-processor.

Methods in adams.flow.transformer that return AbstractClustererPostProcessor

Modifier and Type	Method	Description
AbstractClustererPostProcessor	WekaClustererPostProcessor.getPostProcessor()	Returns the post-processor in use.
AbstractClustererPostProcessor	WekaTrainClusterer.getPostProcessor()	Returns the post-processor in use.

Methods in adams.flow.transformer with parameters of type AbstractClustererPostProcessor

Modifier and Type	Method	Description
void	WekaClustererPostProcessor.setPostProcessor(AbstractClustererPostProcessor value)	Sets the post-processor to use.
void	WekaTrainClusterer.setPostProcessor(AbstractClustererPostProcessor value)	Sets the post-processor to use.

Constructors in adams.flow.transformer with parameters of type AbstractClustererPostProcessor

Constructor	Description
BatchTrainJob(weka.clusterers.Clusterer cls, weka.core.Instances data, AbstractClustererPostProcessor postProcessor)	Initializes the job.

Uses of AbstractClustererPostProcessor in adams.flow.transformer.wekaclusterer

Subclasses of AbstractClustererPostProcessor in adams.flow.transformer.wekaclusterer

Modifier and Type	Class	Description
class	AbstractClusterMembershipPostProcessor	Ancestor for post-processors that require a built clusterer and the dataset that was used to build the clusterer to be present in the model container.
class	AddCluster	Just adds the predicted cluster (or distribution) to the original dataset. Stored in container under: Clustered dataset
class	AverageSilhouetteCoefficient	Computes the average Silhouette coefficient for the clusters.
class	ClusterCenters	Computes the cluster centers for the provided dataset.
class	ClusterCounts	Creates an overview of how many instances get clustered into each cluster. Stored in container under: Clustered dataset
class	ClusterStatistics	Computes cluster statistics (min/max/mean/stdev) for the provided dataset.
class	MultiClustererPostProcessor	Applies the specified post-processors sequentially.
class	PassThrough	Dummy post-processor that just returns the model container as it is.

Fields in adams.flow.transformer.wekaclusterer declared as AbstractClustererPostProcessor

Modifier and Type	Field	Description
protected AbstractClustererPostProcessor[]	MultiClustererPostProcessor.m_PostProcessors	the post-processors to apply.

Methods in adams.flow.transformer.wekaclusterer that return AbstractClustererPostProcessor

Modifier and Type	Method	Description
AbstractClustererPostProcessor[]	MultiClustererPostProcessor.getPostProcessors()	Returns the distance function to use.

Methods in adams.flow.transformer.wekaclusterer with parameters of type AbstractClustererPostProcessor

Modifier and Type	Method	Description
void	MultiClustererPostProcessor.setPostProcessors(AbstractClustererPostProcessor[] value)	Sets the distance function to use.