| 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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