Uses of Class
moa.cluster.Cluster
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Uses of Cluster in moa.cluster
Subclasses of Cluster in moa.cluster Modifier and Type Class Description class
CFCluster
class
SphereCluster
A simple implementation of theCluster
interface representing spherical clusters.Methods in moa.cluster that return Cluster Modifier and Type Method Description Cluster
Clustering. get(int index)
get a cluster from the clusteringMethods in moa.cluster that return types with arguments of type Cluster Modifier and Type Method Description AutoExpandVector<Cluster>
Clustering. getClustering()
AutoExpandVector<Cluster>
Clustering. getClusteringCopy()
Methods in moa.cluster with parameters of type Cluster Modifier and Type Method Description void
Clustering. add(Cluster cluster)
add a cluster to the clusteringConstructors in moa.cluster with parameters of type Cluster Constructor Description Clustering(Cluster[] clusters)
Constructor parameters in moa.cluster with type arguments of type Cluster Constructor Description Clustering(AutoExpandVector<Cluster> clusters)
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Uses of Cluster in moa.clusterers
Methods in moa.clusterers with parameters of type Cluster Modifier and Type Method 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 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 Description class
ClustreamKernel
Methods in moa.clusterers.clustream with parameters of type Cluster Modifier and Type Method Description static Clustering
Clustream. kMeans(int k, Cluster[] centers, List<? extends Cluster> data)
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.Method parameters in moa.clusterers.clustream with type arguments of type Cluster Modifier and Type Method Description static Clustering
Clustream. kMeans(int k, List<? extends Cluster> data)
static Clustering
Clustream. kMeans(int k, Cluster[] centers, List<? extends Cluster> data)
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. -
Uses of Cluster in moa.clusterers.clustree
Subclasses of Cluster in moa.clusterers.clustree Modifier and Type Class 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 Description class
MicroCluster
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Uses of Cluster in moa.clusterers.dstream
Subclasses of Cluster in moa.clusterers.dstream Modifier and Type Class Description class
DensityGrid
Density Grids are defined in equation 3 (section 3.1) of Chen and Tu 2007 as: In D-Stream, we partition the d−dimensional space S into density grids.class
GridCluster
Grid Clusters are defined in Definition 3.6 of Chen and Tu 2007 as: Let G =(g1, ·· · ,gm) be a grid group, if every inside grid of G is a dense grid and every outside grid is either a dense grid or a transitional grid, then G is a grid cluster. -
Uses of Cluster in moa.clusterers.kmeanspm
Subclasses of Cluster in moa.clusterers.kmeanspm Modifier and Type Class Description class
ClusteringFeature
Provides a ClusteringFeature.Methods in moa.clusterers.kmeanspm that return Cluster Modifier and Type Method Description Cluster
ClusteringFeature. toCluster()
Creates a Cluster of the ClusteringFeature. -
Uses of Cluster in moa.clusterers.macro
Subclasses of Cluster in moa.clusterers.macro Modifier and Type Class Description class
NonConvexCluster
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Uses of Cluster in moa.clusterers.streamkm
Methods in moa.clusterers.streamkm that return Cluster Modifier and Type Method Description Cluster
Point. toCluster(double radius)
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