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