Uses of Class
org.apache.commons.math3.ml.clustering.Cluster
Packages that use Cluster
Package
Description
Clustering algorithms.
Cluster evaluation methods.
-
Uses of Cluster in org.apache.commons.math3.ml.clustering
Subclasses of Cluster in org.apache.commons.math3.ml.clusteringModifier and TypeClassDescriptionclass
CentroidCluster<T extends Clusterable>
A Cluster used by centroid-based clustering algorithms.Methods in org.apache.commons.math3.ml.clustering that return ClusterModifier and TypeMethodDescriptionDBSCANClusterer.expandCluster
(Cluster<T> cluster, T point, List<T> neighbors, Collection<T> points, Map<Clusterable, DBSCANClusterer.PointStatus> visited) Expands the cluster to include density-reachable items.Methods in org.apache.commons.math3.ml.clustering that return types with arguments of type ClusterModifier and TypeMethodDescriptionClusterer.cluster
(Collection<T> points) Perform a cluster analysis on the given set ofClusterable
instances.DBSCANClusterer.cluster
(Collection<T> points) Performs DBSCAN cluster analysis.Methods in org.apache.commons.math3.ml.clustering with parameters of type ClusterModifier and TypeMethodDescriptionDBSCANClusterer.expandCluster
(Cluster<T> cluster, T point, List<T> neighbors, Collection<T> points, Map<Clusterable, DBSCANClusterer.PointStatus> visited) Expands the cluster to include density-reachable items.Method parameters in org.apache.commons.math3.ml.clustering with type arguments of type ClusterModifier and TypeMethodDescriptionprivate T
KMeansPlusPlusClusterer.getPointFromLargestNumberCluster
(Collection<? extends Cluster<T>> clusters) Get a random point from theCluster
with the largest number of points -
Uses of Cluster in org.apache.commons.math3.ml.clustering.evaluation
Methods in org.apache.commons.math3.ml.clustering.evaluation with parameters of type ClusterModifier and TypeMethodDescriptionprotected Clusterable
ClusterEvaluator.centroidOf
(Cluster<T> cluster) Computes the centroid for a cluster.Method parameters in org.apache.commons.math3.ml.clustering.evaluation with type arguments of type ClusterModifier and TypeMethodDescriptionabstract double
Computes the evaluation score for the given list of clusters.double
Computes the evaluation score for the given list of clusters.