| Package | Description | 
|---|---|
| it.uniroma2.sag.kelp.learningalgorithm.clustering | |
| it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans | 
| Modifier and Type | Method and Description | 
|---|---|
| List<Cluster> | ClusteringAlgorithm. cluster(Dataset dataset)It starts the clustering process exploiting the provided
  dataset | 
| Modifier and Type | Method and Description | 
|---|---|
| List<Cluster> | KernelBasedKMeansEngine. cluster(Dataset dataset) | 
| Modifier and Type | Method and Description | 
|---|---|
| float | KernelBasedKMeansEngine. calculateDistance(Example example,
                 Cluster cluster)Estimate the distance of an example from the centroid | 
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