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
|
Copyright © 2015 Semantic Analytics Group @ Uniroma2. All rights reserved.