Uses of Class
org.apache.commons.math3.ml.clustering.CentroidCluster
Packages that use CentroidCluster
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Uses of CentroidCluster in org.apache.commons.math3.ml.clustering
Fields in org.apache.commons.math3.ml.clustering with type parameters of type CentroidClusterModifier and TypeFieldDescriptionprivate List
<CentroidCluster<T>> FuzzyKMeansClusterer.clusters
The list of clusters resulting from the last call toFuzzyKMeansClusterer.cluster(Collection)
.Methods in org.apache.commons.math3.ml.clustering that return types with arguments of type CentroidClusterModifier and TypeMethodDescriptionprivate List
<CentroidCluster<T>> KMeansPlusPlusClusterer.chooseInitialCenters
(Collection<T> points) Use K-means++ to choose the initial centers.FuzzyKMeansClusterer.cluster
(Collection<T> dataPoints) Performs Fuzzy K-Means cluster analysis.KMeansPlusPlusClusterer.cluster
(Collection<T> points) Runs the K-means++ clustering algorithm.MultiKMeansPlusPlusClusterer.cluster
(Collection<T> points) Runs the K-means++ clustering algorithm.FuzzyKMeansClusterer.getClusters()
Returns the list of clusters resulting from the last call toFuzzyKMeansClusterer.cluster(Collection)
.Method parameters in org.apache.commons.math3.ml.clustering with type arguments of type CentroidClusterModifier and TypeMethodDescriptionprivate int
KMeansPlusPlusClusterer.assignPointsToClusters
(List<CentroidCluster<T>> clusters, Collection<T> points, int[] assignments) Adds the given points to the closestCluster
.private T
KMeansPlusPlusClusterer.getFarthestPoint
(Collection<CentroidCluster<T>> clusters) Get the point farthest to its cluster centerprivate int
KMeansPlusPlusClusterer.getNearestCluster
(Collection<CentroidCluster<T>> clusters, T point) Returns the nearestCluster
to the given pointprivate T
KMeansPlusPlusClusterer.getPointFromLargestVarianceCluster
(Collection<CentroidCluster<T>> clusters) Get a random point from theCluster
with the largest distance variance.