com.github.pmerienne.trident.ml.clustering

Interface Clusterer

All Known Implementing Classes:

KMeans

public interface Clusterer

Method Summary

Methods

Modifier and Type	Method and Description
Integer	classify(double[] features) Classifies a given sample and updates clusters.
double[]	distribution(double[] features) Predicts the cluster memberships for a given instance.
double[][]	getCentroids() Returns learned clusters as a List of feature's means
void	reset()
Integer	update(double[] features) Updates clusters with a given sample and return classification.

Method Detail

classify

Integer classify(double[] features)

Classifies a given sample and updates clusters.

Parameters:

features -

Returns:

update

Integer update(double[] features)

Updates clusters with a given sample and return classification.

Parameters:

features -

Returns:

distribution

double[] distribution(double[] features)

Predicts the cluster memberships for a given instance.

Parameters:

features -

Returns:

getCentroids

double[][] getCentroids()

Returns learned clusters as a List of feature's means

Returns:

reset

void reset()