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| Packages that use Clusterable | |
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| org.apache.commons.math3.ml.clustering | Clustering algorithms. |
| Uses of Clusterable in org.apache.commons.math3.ml.clustering |
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| Classes in org.apache.commons.math3.ml.clustering with type parameters of type Clusterable | |
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class |
CentroidCluster<T extends Clusterable>
A Cluster used by centroid-based clustering algorithms. |
class |
Cluster<T extends Clusterable>
Cluster holding a set of Clusterable points. |
class |
Clusterer<T extends Clusterable>
Base class for clustering algorithms. |
class |
DBSCANClusterer<T extends Clusterable>
DBSCAN (density-based spatial clustering of applications with noise) algorithm. |
class |
KMeansPlusPlusClusterer<T extends Clusterable>
Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm. |
class |
MultiKMeansPlusPlusClusterer<T extends Clusterable>
A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution. |
| Classes in org.apache.commons.math3.ml.clustering that implement Clusterable | |
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class |
DoublePoint
A simple implementation of Clusterable for points with double coordinates. |
| Methods in org.apache.commons.math3.ml.clustering that return Clusterable | |
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Clusterable |
CentroidCluster.getCenter()
Get the point chosen to be the center of this cluster. |
| Methods in org.apache.commons.math3.ml.clustering with parameters of type Clusterable | |
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protected double |
Clusterer.distance(Clusterable p1,
Clusterable p2)
Calculates the distance between two Clusterable instances
with the configured DistanceMeasure. |
| Constructors in org.apache.commons.math3.ml.clustering with parameters of type Clusterable | |
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CentroidCluster(Clusterable center)
Build a cluster centered at a specified point. |
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