Package | Description |
---|---|
weka.attributeSelection | |
weka.clusterers | |
weka.experiment | |
weka.filters.unsupervised.attribute | |
weka.gui.beans | |
weka.gui.explorer |
Class and Description |
---|
Clusterer
Interface for clusterers.
|
Class and Description |
---|
AbstractClusterer
Abstract clusterer.
|
AbstractDensityBasedClusterer
Abstract clustering model that produces (for each test instance)
an estimate of the membership in each cluster
(ie.
|
Clusterer
Interface for clusterers.
|
Cobweb.CNode
Inner class handling node operations for Cobweb.
|
DensityBasedClusterer
Interface for clusterers that can estimate the density for a given instance.
|
NumberOfClustersRequestable
Interface to a clusterer that can generate a requested number of
clusters
|
RandomizableClusterer
Abstract utility class for handling settings common to randomizable
clusterers.
|
RandomizableDensityBasedClusterer
Abstract utility class for handling settings common to randomizable
clusterers.
|
SingleClustererEnhancer
Meta-clusterer for enhancing a base clusterer.
|
UpdateableClusterer
Interface to incremental cluster models that can learn using one instance
at a time.
|
Class and Description |
---|
DensityBasedClusterer
Interface for clusterers that can estimate the density for a given instance.
|
Class and Description |
---|
Clusterer
Interface for clusterers.
|
DensityBasedClusterer
Interface for clusterers that can estimate the density for a given instance.
|
Class and Description |
---|
Clusterer
Interface for clusterers.
|
Class and Description |
---|
Clusterer
Interface for clusterers.
|
ClusterEvaluation
Class for evaluating clustering models.
Valid options are:
-t name of the training file
Specify the training file. |
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