Catalano.MachineLearning.Clustering

Interface ICentroidClustering

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

KMeans

public interface ICentroidClustering
extends java.io.Serializable

Common interface for centroid based clustering algorithms.

Method Summary

Modifier and Type	Method and Description
void	Compute(DatasetClassification dataset) Compute the data.
void	Compute(double[][] input) Compute the data.
double[][]	getCentroids() Get the centroids of the clustering.
int	Predict(double[] x) Cluster a new instance.

Method Detail

Compute

void Compute(DatasetClassification dataset)

Compute the data.

Parameters:

dataset - Dataset.

Compute

void Compute(double[][] input)

Compute the data.

Parameters:

input - Data.

Predict

int Predict(double[] x)

Cluster a new instance.

Parameters:

x - a new instance.

Returns:

the cluster label.

getCentroids

double[][] getCentroids()

Get the centroids of the clustering.

Returns:

Centroids.