All Downloads are FREE. Search and download functionalities are using the official Maven repository.

weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.ResultVectorTableModel Maven / Gradle / Ivy

Go to download

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.

There is a newer version: 3.8.6
Show newest version
/*
 *    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.clusterers.forOPTICSAndDBScan.DataObjects.DataObject;
import weka.core.FastVector;
import weka.core.RevisionHandler;
import weka.core.RevisionUtils;
import weka.core.Utils;

import javax.swing.table.AbstractTableModel;

/**
 * 

* ResultVectorTableModel.java
* Authors: Rainer Holzmann, Zhanna Melnikova-Albrecht
* Date: Sep 12, 2004
* Time: 9:23:31 PM
* $ Revision 1.4 $
*

* * @author Zhanna Melnikova-Albrecht ([email protected]) * @author Rainer Holzmann ([email protected]) * @version $Revision: 1.4 $ */ public class ResultVectorTableModel extends AbstractTableModel implements RevisionHandler { /** for serialization */ private static final long serialVersionUID = -7732711470435549210L; /** * Holds the ClusterOrder (dataObjects with their r_dist and c_dist) for the GUI */ private FastVector resultVector; // ***************************************************************************************************************** // constructors // ***************************************************************************************************************** /** * Constructs a default DefaultTableModel * which is a table of zero columns and zero rows. */ public ResultVectorTableModel(FastVector resultVector) { this.resultVector = resultVector; } // ***************************************************************************************************************** // methods // ***************************************************************************************************************** /** * Returns the number of rows of this model. * The number of rows is the number of dataObjects stored in the resultVector * @return the number of rows of this model */ public int getRowCount() { if (resultVector == null) return 0; else return resultVector.size(); } /** * Returns the number of columns of this model. * The number of columns is 4 (dataObject.key, dataobject, c_dist, r_dist) * @return int The number of columns of this model */ public int getColumnCount() { if (resultVector == null) return 0; return 4; } /** * Returns the value for the JTable for a given position. * @param row The row of the value * @param column The column of the value * @return value * */ public Object getValueAt(int row, int column) { DataObject dataObject = (DataObject) resultVector.elementAt(row); switch (column) { case 0: return dataObject.getKey(); case 1: return dataObject; case 2: return ((dataObject.getCoreDistance() == DataObject.UNDEFINED) ? "UNDEFINED" : Utils.doubleToString(dataObject.getCoreDistance(), 3, 5)); case 3: return ((dataObject.getReachabilityDistance() == DataObject.UNDEFINED) ? "UNDEFINED" : Utils.doubleToString(dataObject.getReachabilityDistance(), 3, 5)); default: return ""; } } /** * Returns the revision string. * * @return the revision */ public String getRevision() { return RevisionUtils.extract("$Revision: 1.4 $"); } }




© 2015 - 2025 Weber Informatics LLC | Privacy Policy