Catalano.MachineLearning.Clustering

Interface IClustering<T>

Type Parameters:

T - the type of input object.

public interface IClustering<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
void	Compute(DatasetClassification dataset) Compute the data.
void	Compute(T[] input) Compute the data.
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

Compute

void Compute(DatasetClassification dataset)

Compute the data.

Parameters:

dataset - Dataset.

Compute

void Compute(T[] input)

Compute the data.

Parameters:

input - Data.

Predict

int Predict(T x)

Cluster a new instance.

Parameters:

x - a new instance.

Returns:

the cluster label.