| Package | Description | 
|---|---|
| org.hipparchus.clustering | 
 Clustering algorithms. 
 | 
| org.hipparchus.clustering.evaluation | 
 Cluster evaluation methods. 
 | 
| org.hipparchus.samples | 
| Class | Description | 
|---|---|
| CentroidCluster | 
 A Cluster used by centroid-based clustering algorithms. 
 | 
| Cluster | 
 Cluster holding a set of  
Clusterable points. | 
| 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 | Description | 
|---|---|
| Cluster | 
 Cluster holding a set of  
Clusterable points. | 
| Clusterable | 
 Interface for n-dimensional points that can be clustered together. 
 | 
| Class | Description | 
|---|---|
| Cluster | 
 Cluster holding a set of  
Clusterable points. | 
| DoublePoint | 
 A simple implementation of  
Clusterable for points with double coordinates. | 
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