| 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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