Uses of Class
org.apache.commons.math3.ml.clustering.Cluster
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Packages that use Cluster Package Description org.apache.commons.math3.ml.clustering Clustering algorithms.org.apache.commons.math3.ml.clustering.evaluation Cluster evaluation methods. -
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Uses of Cluster in org.apache.commons.math3.ml.clustering
Subclasses of Cluster in org.apache.commons.math3.ml.clustering Modifier and Type Class Description class
CentroidCluster<T extends Clusterable>
A Cluster used by centroid-based clustering algorithms.Methods in org.apache.commons.math3.ml.clustering that return Cluster Modifier and Type Method Description private Cluster<T>
DBSCANClusterer. expandCluster(Cluster<T> cluster, T point, java.util.List<T> neighbors, java.util.Collection<T> points, java.util.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 Cluster Modifier and Type Method Description abstract java.util.List<? extends Cluster<T>>
Clusterer. cluster(java.util.Collection<T> points)
Perform a cluster analysis on the given set ofClusterable
instances.java.util.List<Cluster<T>>
DBSCANClusterer. cluster(java.util.Collection<T> points)
Performs DBSCAN cluster analysis.Methods in org.apache.commons.math3.ml.clustering with parameters of type Cluster Modifier and Type Method Description private Cluster<T>
DBSCANClusterer. expandCluster(Cluster<T> cluster, T point, java.util.List<T> neighbors, java.util.Collection<T> points, java.util.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 Cluster Modifier and Type Method Description private T
KMeansPlusPlusClusterer. getPointFromLargestNumberCluster(java.util.Collection<? extends Cluster<T>> clusters)
Get a random point from theCluster
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Uses of Cluster in org.apache.commons.math3.ml.clustering.evaluation
Methods in org.apache.commons.math3.ml.clustering.evaluation with parameters of type Cluster Modifier and Type Method Description protected 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 Cluster Modifier and Type Method Description abstract double
ClusterEvaluator. score(java.util.List<? extends Cluster<T>> clusters)
Computes the evaluation score for the given list of clusters.double
SumOfClusterVariances. score(java.util.List<? extends Cluster<T>> clusters)
Computes the evaluation score for the given list of clusters.
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