smile.clustering

Interface Clustering<T>

Type Parameters:

T - the type of input object.

All Known Implementing Classes:

BIRCH, CLARANS, DBScan, DENCLUE, DeterministicAnnealing, GMeans, GrowingNeuralGas, KMeans, MEC, NeuralGas, NeuralMap, PartitionClustering, SIB, SOM, XMeans

public interface Clustering<T>

Clustering interface.

Field Summary

Fields

Modifier and Type	Field and Description
static int	OUTLIER Cluster label for outliers or noises.

Method Summary

Modifier and Type	Method and Description
int	predict(T x) Cluster a new instance.

Field Detail

OUTLIER

static final int OUTLIER

Cluster label for outliers or noises.

See Also:

Constant Field Values

Method Detail

predict

int predict(T x)

Cluster a new instance.

Parameters:

x - a new instance.

Returns:

the cluster label.