Uses of Class
gov.sandia.cognition.learning.algorithm.clustering.cluster.NormalizedCentroidCluster

Packages that use NormalizedCentroidCluster

Package	Description
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.clustering.cluster	Provides implementations of different types of clusters.
gov.sandia.cognition.learning.algorithm.clustering.divergence	Provides divergence functions for use in clustering.

Uses of NormalizedCentroidCluster in gov.sandia.cognition.learning.algorithm.clustering

Methods in gov.sandia.cognition.learning.algorithm.clustering that return types with arguments of type NormalizedCentroidCluster

Modifier and Type	Method and Description
static PartitionalClusterer<Vectorizable,NormalizedCentroidCluster<Vectorizable>>	PartitionalClusterer.createSpherical(int numRequestedClusters) Create a spherical partitional clusterer, using Cosine distance and a vector mean centroid cluster creator.

Uses of NormalizedCentroidCluster in gov.sandia.cognition.learning.algorithm.clustering.cluster

Methods in gov.sandia.cognition.learning.algorithm.clustering.cluster that return NormalizedCentroidCluster

Modifier and Type	Method and Description
NormalizedCentroidCluster<Vectorizable>	NormalizedCentroidClusterCreator.createCluster()
NormalizedCentroidCluster<Vectorizable>	NormalizedCentroidClusterCreator.createCluster(java.util.Collection<? extends Vectorizable> members)

Methods in gov.sandia.cognition.learning.algorithm.clustering.cluster with parameters of type NormalizedCentroidCluster

Modifier and Type	Method and Description
void	NormalizedCentroidClusterCreator.addClusterMember(NormalizedCentroidCluster<Vectorizable> cluster, Vectorizable member)
boolean	NormalizedCentroidClusterCreator.removeClusterMember(NormalizedCentroidCluster<Vectorizable> cluster, Vectorizable member)

Uses of NormalizedCentroidCluster in gov.sandia.cognition.learning.algorithm.clustering.divergence

Methods in gov.sandia.cognition.learning.algorithm.clustering.divergence with parameters of type NormalizedCentroidCluster

Modifier and Type	Method and Description
double	WithinNormalizedCentroidClusterCosineDivergence.evaluate(NormalizedCentroidCluster<V> cluster) Evaluate the this function on the provided cluster.