Package | Description |
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org.hipparchus.clustering |
Clustering algorithms.
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org.hipparchus.clustering.evaluation |
Cluster evaluation methods.
|
org.hipparchus.samples |
Various examples.
|
Modifier and Type | Class and Description |
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class |
CentroidCluster<T extends Clusterable>
A Cluster used by centroid-based clustering algorithms.
|
Modifier and Type | Method and Description |
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List<Cluster<T>> |
DBSCANClusterer.cluster(Collection<T> points)
Performs DBSCAN cluster analysis.
|
abstract List<? extends Cluster<T>> |
Clusterer.cluster(Collection<T> points)
Perform a cluster analysis on the given set of
Clusterable instances. |
Modifier and Type | Method and Description |
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protected Clusterable |
ClusterEvaluator.centroidOf(Cluster<T> cluster)
Computes the centroid for a cluster.
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Modifier and Type | Method and Description |
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abstract double |
ClusterEvaluator.score(List<? extends Cluster<T>> clusters)
Computes the evaluation score for the given list of clusters.
|
double |
SumOfClusterVariances.score(List<? extends Cluster<T>> clusters)
Computes the evaluation score for the given list of clusters.
|
Constructor and Description |
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ClusterPlot(List<? extends Cluster<DoublePoint>> clusters,
long duration) |
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