Uses of Class
it.uniroma2.sag.kelp.data.clustering.Cluster

Packages that use Cluster

Package	Description
it.uniroma2.sag.kelp.learningalgorithm.clustering
it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans
it.uniroma2.sag.kelp.learningalgorithm.clustering.kmeans

Uses of Cluster in it.uniroma2.sag.kelp.learningalgorithm.clustering

Methods in it.uniroma2.sag.kelp.learningalgorithm.clustering that return types with arguments of type Cluster

Modifier and Type	Method and Description
List<Cluster>	ClusteringAlgorithm.cluster(Dataset dataset) It starts the clustering process exploiting the provided dataset
List<Cluster>	ClusteringAlgorithm.cluster(Dataset dataset, ExampleSelector seedSelector) It starts the clustering process exploiting the provided dataset

Uses of Cluster in it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans

Methods in it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans with parameters of type Cluster

Modifier and Type	Method and Description
float	KernelBasedKMeansEngine.calculateDistance(Example example, Cluster cluster) Estimate the distance of an example from the centroid

Uses of Cluster in it.uniroma2.sag.kelp.learningalgorithm.clustering.kmeans

Subclasses of Cluster in it.uniroma2.sag.kelp.learningalgorithm.clustering.kmeans

Modifier and Type	Class and Description
class	LinearKMeansCluster It is the instance of a Cluster for Linear Algorithms, intended as a set of objects, instantiated as Examples, grouped together according to a measure of similarity.