Uses of Class
org.apache.commons.math3.ml.clustering.CentroidCluster
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Packages that use CentroidCluster Package Description org.apache.commons.math3.ml.clustering Clustering algorithms. -
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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 CentroidCluster Modifier and Type Field Description private java.util.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 CentroidCluster Modifier and Type Method Description private java.util.List<CentroidCluster<T>>
KMeansPlusPlusClusterer. chooseInitialCenters(java.util.Collection<T> points)
Use K-means++ to choose the initial centers.java.util.List<CentroidCluster<T>>
FuzzyKMeansClusterer. cluster(java.util.Collection<T> dataPoints)
Performs Fuzzy K-Means cluster analysis.java.util.List<CentroidCluster<T>>
KMeansPlusPlusClusterer. cluster(java.util.Collection<T> points)
Runs the K-means++ clustering algorithm.java.util.List<CentroidCluster<T>>
MultiKMeansPlusPlusClusterer. cluster(java.util.Collection<T> points)
Runs the K-means++ clustering algorithm.java.util.List<CentroidCluster<T>>
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 CentroidCluster Modifier and Type Method Description private int
KMeansPlusPlusClusterer. assignPointsToClusters(java.util.List<CentroidCluster<T>> clusters, java.util.Collection<T> points, int[] assignments)
Adds the given points to the closestCluster
.private T
KMeansPlusPlusClusterer. getFarthestPoint(java.util.Collection<CentroidCluster<T>> clusters)
Get the point farthest to its cluster centerprivate int
KMeansPlusPlusClusterer. getNearestCluster(java.util.Collection<CentroidCluster<T>> clusters, T point)
Returns the nearestCluster
to the given pointprivate T
KMeansPlusPlusClusterer. getPointFromLargestVarianceCluster(java.util.Collection<CentroidCluster<T>> clusters)
Get a random point from theCluster
with the largest distance variance.
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