weka.clusterers.DensityBasedClusterer.java Source code

Introduction

Here is the source code for weka.clusterers.DensityBasedClusterer.java

Source

/*
 *   This program is free software: you can redistribute it and/or modify
 *   it under the terms of the GNU General Public License as published by
 *   the Free Software Foundation, either version 3 of the License, or
 *   (at your option) any later version.
 *
 *   This program is distributed in the hope that it will be useful,
 *   but WITHOUT ANY WARRANTY; without even the implied warranty of
 *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *   GNU General Public License for more details.
 *
 *   You should have received a copy of the GNU General Public License
 *   along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

/*
 *    DensityBasedClusterer.java
 *    Copyright (C) 1999-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.clusterers;

import weka.core.Instance;

/**
 * Interface for clusterers that can estimate the density for a given instance.
 * Implementations will typically extend AbstractDensityBasedClusterer.
 * 
 * @author Mark Hall (mhall@cs.waikato.ac.nz)
 * @author Eibe Frank (eibe@cs.waikato.ac.nz)
 * @version $Revision$
 */
public interface DensityBasedClusterer extends Clusterer {

    /**
     * Returns the prior probability of each cluster.
     * 
     * @return the prior probability for each cluster
     * @exception Exception if priors could not be returned successfully
     */
    double[] clusterPriors() throws Exception;

    /**
     * Computes the log of the conditional density (per cluster) for a given
     * instance.
     * 
     * @param instance the instance to compute the density for
     * @return an array containing the estimated densities
     * @exception Exception if the density could not be computed successfully
     */
    double[] logDensityPerClusterForInstance(Instance instance) throws Exception;

    /**
     * Computes the density for a given instance.
     * 
     * @param instance the instance to compute the density for
     * @return the density.
     * @exception Exception if the density could not be computed successfully
     */
    double logDensityForInstance(Instance instance) throws Exception;

    /**
     * Returns the logs of the joint densities for a given instance.
     * 
     * @param inst the instance
     * @return the array of values
     * @exception Exception if values could not be computed
     */
    double[] logJointDensitiesForInstance(Instance inst) throws Exception;

    /**
     * Returns the cluster probability distribution for an instance.
     * 
     * @param instance the instance to be clustered
     * @return the probability distribution
     * @throws Exception if computation fails
     */
    @Override
    double[] distributionForInstance(Instance instance) throws Exception;
}