Uses of Interface
gov.sandia.cognition.learning.algorithm.clustering.cluster.IncrementalClusterCreator

Packages that use IncrementalClusterCreator
gov.sandia.cognition.learning.algorithm.clustering Provides clustering algorithms. 
gov.sandia.cognition.learning.algorithm.clustering.cluster Provides implementations of different types of clusters. 
 

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

Fields in gov.sandia.cognition.learning.algorithm.clustering declared as IncrementalClusterCreator
protected  IncrementalClusterCreator<ClusterType,DataType> PartitionalClusterer.creator
          The merger used to merge two clusters into one element.
 

Methods in gov.sandia.cognition.learning.algorithm.clustering that return IncrementalClusterCreator
 IncrementalClusterCreator<ClusterType,DataType> PartitionalClusterer.getCreator()
          Gets the cluster creator.
 

Methods in gov.sandia.cognition.learning.algorithm.clustering with parameters of type IncrementalClusterCreator
 void PartitionalClusterer.setCreator(IncrementalClusterCreator<ClusterType,DataType> creator)
          Sets the cluster creator.
 

Constructors in gov.sandia.cognition.learning.algorithm.clustering with parameters of type IncrementalClusterCreator
PartitionalClusterer(ClusterDivergenceFunction<? super ClusterType,? super DataType> divergenceFunction, IncrementalClusterCreator<ClusterType,DataType> creator, int minClusterSize, double maxCriterionDecrease, Random random)
          Initializes the clustering to use the given metric between clusters, the given cluster creator, and the minimum number of elements per cluster to allow.
PartitionalClusterer(ClusterDivergenceFunction<? super ClusterType,? super DataType> divergenceFunction, IncrementalClusterCreator<ClusterType,DataType> creator, int maxIterations, int minClusterSize, double maxCriterionDecrease, Random random)
          Initializes the clustering to use the given metric between clusters, the given cluster creator, the minimum number of elements per cluster to allow, and the maximum decrease in the training criterion during partition to allow.
PartitionalClusterer(ClusterDivergenceFunction<? super ClusterType,? super DataType> divergenceFunction, IncrementalClusterCreator<ClusterType,DataType> creator, Random random)
          Initializes the clustering to use the given metric between clusters, and the given cluster creator.
 

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

Classes in gov.sandia.cognition.learning.algorithm.clustering.cluster that implement IncrementalClusterCreator
 class DefaultIncrementalClusterCreator<DataType>
          A default implementation of the IncrementalClusterCreator interface that just creates a cluster as having a collection of members.
 class VectorMeanCentroidClusterCreator
          The VectorMeanCentroidClusterCreator class implements a cluster creator for centroid clusters where the centroid is the mean of the vectors that are members of the cluster.