weka.classifiers.immune.airs.algorithm.merge.PruneMerge Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of wekaclassalgos Show documentation

Fork of the following defunct sourceforge.net project: https://sourceforge.net/projects/wekaclassalgos/

The 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 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 .
 */

/*
 * Created on 8/01/2005
 */
package weka.classifiers.immune.airs.algorithm.merge;

import weka.classifiers.immune.airs.algorithm.AISModelClassifier;
import weka.classifiers.immune.airs.algorithm.AffinityFunction;
import weka.classifiers.immune.airs.algorithm.Cell;
import weka.classifiers.immune.airs.algorithm.CellPool;
import weka.classifiers.immune.airs.algorithm.MemoryCellMerger;
import weka.classifiers.immune.airs.algorithm.Utils;
import weka.classifiers.immune.airs.algorithm.classification.MajorityVote;
import weka.core.Instances;
import weka.filters.unsupervised.attribute.Normalize;

import java.util.LinkedList;

/**
 * Type: ConcatonateMerge 

 * File: ConcatonateMerge.java 

 * Date: 8/01/2005 

 * 

 * Description: 

 *
 * @author Jason Brownlee
 */
public class PruneMerge implements MemoryCellMerger {

  /**
   * @param cells
   * @return
   */
  public AISModelClassifier mergeMemoryCells(
    LinkedList[] cells,
    int aKNN,
    Normalize aNormalise,
    AffinityFunction aFunction,
    Instances aDataset) {
    LinkedList masterList = new LinkedList();

    for (int i = 0; i < cells.length; i++) {
      masterList.addAll(cells[i]);
    }

    CellPool pool = new CellPool(masterList);

    // perform classification and pruning with dataset
    Utils.performPrunning(pool, aDataset, aFunction);

    MajorityVote classifier = new MajorityVote(aKNN, aNormalise, pool, aFunction);
    return classifier;
  }


}