Package adams.ml.model.clustering

Interface ClusteringModel

All Superinterfaces:

Model, Serializable

All Known Implementing Classes:

WekaClusteringModel

public interface ClusteringModel
extends Model

Interface for clustering models.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

Method Summary

Modifier and Type	Method	Description
int	cluster(Row row)	Returns the cluster index for the given row.
double[]	distribution(Row row)	Returns the cluster distribution for the given row.

Methods inherited from interface adams.ml.model.Model

getDatasetInfo, getModelDescription, isCompatible

Method Detail

cluster

int cluster(Row row)
     throws Exception

Returns the cluster index for the given row.

Parameters:

row - the row to classify

Returns:

the cluster index

Throws:

Exception - if prediction fails

distribution

double[] distribution(Row row)
               throws Exception

Returns the cluster distribution for the given row.

Parameters:

row - the row to generate the class distribution for

Returns:

the cluster distribution

Throws:

Exception - if prediction fails