Uses of Class
moa.cluster.Cluster

Packages that use Cluster

Package	Description
moa.cluster
moa.clusterers
moa.clusterers.clustream
moa.clusterers.clustree
moa.clusterers.denstream
moa.clusterers.macro
moa.clusterers.streamkm

Uses of Cluster in moa.cluster

Subclasses of Cluster in moa.cluster

Modifier and Type	Class and Description
class	CFCluster
class	SphereCluster A simple implementation of the Cluster interface representing spherical clusters.

Methods in moa.cluster that return Cluster

Modifier and Type	Method and Description
Cluster	Clustering.get(int index) remove a cluster from the clustering

Methods in moa.cluster that return types with arguments of type Cluster

Modifier and Type	Method and Description
AutoExpandVector<Cluster>	Clustering.getClustering()
AutoExpandVector<Cluster>	Clustering.getClusteringCopy()

Methods in moa.cluster with parameters of type Cluster

Modifier and Type	Method and Description
void	Clustering.add(Cluster cluster) add a cluster to the clustering

Constructors in moa.cluster with parameters of type Cluster

Constructor and Description
Clustering(Cluster[] clusters)

Constructor parameters in moa.cluster with type arguments of type Cluster

Constructor and Description
Clustering(AutoExpandVector<Cluster> clusters)

Uses of Cluster in moa.clusterers

Methods in moa.clusterers with parameters of type Cluster

Modifier and Type	Method and Description
static Clustering	KMeans.kMeans(Cluster[] centers, List<? extends Cluster> data) This kMeans implementation clusters a big number of microclusters into a smaller amount of macro clusters.

Method parameters in moa.clusterers with type arguments of type Cluster

Modifier and Type	Method and Description
static Clustering	KMeans.kMeans(Cluster[] centers, List<? extends Cluster> data) This kMeans implementation clusters a big number of microclusters into a smaller amount of macro clusters.

Uses of Cluster in moa.clusterers.clustream

Subclasses of Cluster in moa.clusterers.clustream

Modifier and Type	Class and Description
class	ClustreamKernel

Methods in moa.clusterers.clustream with parameters of type Cluster

Modifier and Type	Method and Description
protected static Clustering	WithKmeans.kMeans(int k, Cluster[] centers, List<? extends Cluster> data) (The Actual Algorithm) k-means of (micro)clusters, with specified initialization points.
static Clustering	Clustream.kMeans(int k, Cluster[] centers, List<? extends Cluster> data)

Method parameters in moa.clusterers.clustream with type arguments of type Cluster

Modifier and Type	Method and Description
protected static Clustering	WithKmeans.kMeans(int k, Cluster[] centers, List<? extends Cluster> data) (The Actual Algorithm) k-means of (micro)clusters, with specified initialization points.
static Clustering	Clustream.kMeans(int k, Cluster[] centers, List<? extends Cluster> data)
static Clustering	Clustream.kMeans(int k, List<? extends Cluster> data)

Uses of Cluster in moa.clusterers.clustree

Subclasses of Cluster in moa.clusterers.clustree

Modifier and Type	Class and Description
class	ClusKernel Representation of an Entry in the tree

Uses of Cluster in moa.clusterers.denstream

Subclasses of Cluster in moa.clusterers.denstream

Modifier and Type	Class and Description
class	MicroCluster

Uses of Cluster in moa.clusterers.macro

Subclasses of Cluster in moa.clusterers.macro

Modifier and Type	Class and Description
class	NonConvexCluster

Uses of Cluster in moa.clusterers.streamkm

Methods in moa.clusterers.streamkm that return Cluster

Modifier and Type	Method and Description
Cluster	Point.toCluster()