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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This is the stable version. Apart from bugfixes, this version does not receive any other updates.
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/*
 *    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 2 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, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

/*
 *    Copyright (C) 2004
 *    & Matthias Schubert ([email protected])
 *    & Zhanna Melnikova-Albrecht ([email protected])
 *    & Rainer Holzmann ([email protected])
 */

package weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI;

import weka.core.FastVector;
import weka.core.RevisionHandler;
import weka.core.RevisionUtils;

import java.io.Serializable;

/**
 * 
 * SERObject.java 

 * Authors: Rainer Holzmann, Zhanna Melnikova-Albrecht 

 * Date: Sep 15, 2004 

 * Time: 9:43:00 PM 

 * $ Revision 1.4 $ 

 * 
 *
 * @author Zhanna Melnikova-Albrecht ([email protected])
 * @author Rainer Holzmann ([email protected])
 * @version $Revision: 1.4 $
 */
public class SERObject
    implements Serializable, RevisionHandler {

    /** for serialization */
    private static final long serialVersionUID = -6022057864970639151L;
  
    private FastVector resultVector;
    private int databaseSize;
    private int numberOfAttributes;
    private double epsilon;
    private int minPoints;
    private boolean opticsOutputs;
    private String database_Type;
    private String database_distanceType;
    private int numberOfGeneratedClusters;
    private String elapsedTime;

    // *****************************************************************************************************************
    // constructors
    // *****************************************************************************************************************

    public SERObject(FastVector resultVector,
                     int databaseSize,
                     int numberOfAttributes,
                     double epsilon,
                     int minPoints,
                     boolean opticsOutputs,
                     String database_Type,
                     String database_distanceType,
                     int numberOfGeneratedClusters,
                     String elapsedTime) {
        this.resultVector = resultVector;
        this.databaseSize = databaseSize;
        this.numberOfAttributes = numberOfAttributes;
        this.epsilon = epsilon;
        this.minPoints = minPoints;
        this.opticsOutputs = opticsOutputs;
        this.database_Type = database_Type;
        this.database_distanceType = database_distanceType;
        this.numberOfGeneratedClusters = numberOfGeneratedClusters;
        this.elapsedTime = elapsedTime;
    }

    // *****************************************************************************************************************
    // methods
    // *****************************************************************************************************************

    /**
     * Returns the resultVector
     * @return FastVector resultVector
     */
    public FastVector getResultVector() {
        return resultVector;
    }

    /**
     * Returns the database's size
     * @return int databaseSize
     */
    public int getDatabaseSize() {
        return databaseSize;
    }

    /**
     * Returns the number of Attributes of the specified database
     * @return int numberOfAttributes
     */
    public int getNumberOfAttributes() {
        return numberOfAttributes;
    }

    /**
     * Returns the value of epsilon
     * @return double epsilon
     */
    public double getEpsilon() {
        return epsilon;
    }

    /**
     * Returns the number of minPoints
     * @return int minPoints
     */
    public int getMinPoints() {
        return minPoints;
    }

    /**
     * Returns the flag for writing actions
     * @return True if the outputs are to write to a file, else false
     */
    public boolean isOpticsOutputs() {
        return opticsOutputs;
    }

    /**
     * Returns the type of the used index (database)
     * @return String Index-type
     */
    public String getDatabase_Type() {
        return database_Type;
    }

    /**
     * Returns the distance-type
     * @return String Distance-type
     */
    public String getDatabase_distanceType() {
        return database_distanceType;
    }

    /**
     * Returns the number of generated clusters
     * @return int numberOfGeneratedClusters
     */
    public int getNumberOfGeneratedClusters() {
        return numberOfGeneratedClusters;
    }

    /**
     * Returns the elapsed-time
     * @return String elapsedTime
     */
    public String getElapsedTime() {
        return elapsedTime + " sec";
    }
    
    /**
     * Returns the revision string.
     * 
     * @return		the revision
     */
    public String getRevision() {
      return RevisionUtils.extract("$Revision: 1.4 $");
    }
}