Package | Description |
---|---|
weka.clusterers | |
weka.experiment | |
weka.filters.unsupervised.attribute |
Modifier and Type | Class and Description |
---|---|
class |
AbstractDensityBasedClusterer
Abstract clustering model that produces (for each test instance)
an estimate of the membership in each cluster
(ie.
|
class |
EM
Simple EM (expectation maximisation) class.
EM assigns a probability distribution to each instance which indicates the probability of it belonging to each of the clusters. |
class |
MakeDensityBasedClusterer
Class for wrapping a Clusterer to make it return a distribution and density.
|
class |
RandomizableDensityBasedClusterer
Abstract utility class for handling settings common to randomizable
clusterers.
|
Modifier and Type | Method and Description |
---|---|
static DensityBasedClusterer[] |
AbstractDensityBasedClusterer.makeCopies(DensityBasedClusterer model,
int num)
Creates copies of the current clusterer.
|
Modifier and Type | Method and Description |
---|---|
static double |
ClusterEvaluation.crossValidateModel(DensityBasedClusterer clusterer,
Instances data,
int numFolds,
Random random)
Perform a cross-validation for DensityBasedClusterer on a set of instances.
|
static DensityBasedClusterer[] |
AbstractDensityBasedClusterer.makeCopies(DensityBasedClusterer model,
int num)
Creates copies of the current clusterer.
|
Modifier and Type | Method and Description |
---|---|
DensityBasedClusterer |
DensityBasedClustererSplitEvaluator.getClusterer()
Get the value of clusterer
|
Modifier and Type | Method and Description |
---|---|
void |
DensityBasedClustererSplitEvaluator.setClusterer(DensityBasedClusterer newClusterer)
Sets the clusterer.
|
Modifier and Type | Method and Description |
---|---|
DensityBasedClusterer |
ClusterMembership.getDensityBasedClusterer()
Get the clusterer used by this filter
|
Modifier and Type | Method and Description |
---|---|
void |
ClusterMembership.setDensityBasedClusterer(DensityBasedClusterer newClusterer)
Set the clusterer for use in filtering
|
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