| Package | Description | 
|---|---|
| org.hipparchus.clustering | Clustering algorithms. | 
| org.hipparchus.clustering.evaluation | Cluster evaluation methods. | 
| org.hipparchus.samples | Various examples. | 
| Class and Description | 
|---|
| CentroidCluster A Cluster used by centroid-based clustering algorithms. | 
| Cluster Cluster holding a set of  Clusterablepoints. | 
| Clusterable Interface for n-dimensional points that can be clustered together. | 
| Clusterer Base class for clustering algorithms. | 
| KMeansPlusPlusClusterer Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm. | 
| KMeansPlusPlusClusterer.EmptyClusterStrategy Strategies to use for replacing an empty cluster. | 
| LocalizedClusteringFormats Enumeration for localized messages formats used in exceptions messages. | 
| Class and Description | 
|---|
| Cluster Cluster holding a set of  Clusterablepoints. | 
| Clusterable Interface for n-dimensional points that can be clustered together. | 
| Class and Description | 
|---|
| Cluster Cluster holding a set of  Clusterablepoints. | 
| DoublePoint A simple implementation of  Clusterablefor points with double coordinates. | 
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