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See:
Description
| Interface Summary | |
|---|---|
| Clusterable | Interface for n-dimensional points that can be clustered together. |
| Class Summary | |
|---|---|
| CentroidCluster<T extends Clusterable> | A Cluster used by centroid-based clustering algorithms. |
| Cluster<T extends Clusterable> | Cluster holding a set of Clusterable points. |
| Clusterer<T extends Clusterable> | Base class for clustering algorithms. |
| DBSCANClusterer<T extends Clusterable> | DBSCAN (density-based spatial clustering of applications with noise) algorithm. |
| DoublePoint | A simple implementation of Clusterable for points with double coordinates. |
| KMeansPlusPlusClusterer<T extends Clusterable> | Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm. |
| MultiKMeansPlusPlusClusterer<T extends Clusterable> | A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution. |
| Enum Summary | |
|---|---|
| KMeansPlusPlusClusterer.EmptyClusterStrategy | Strategies to use for replacing an empty cluster. |
Clustering algorithms.
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