/*******************************************************************************
* Copyright (C) 2012 Dominik Jain.
*
* This file is part of ProbCog.
*
* ProbCog 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.
*
* ProbCog 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 ProbCog. If not, see <http://www.gnu.org/licenses/>.
******************************************************************************/
package probcog.clustering;
import weka.core.Attribute;
import weka.core.FastVector;
import weka.core.Instance;
import weka.core.Instances;
/**
* Basic clustering for one-dimensional (double) data points.
* @author Dominik Jain
*
* @param <TClusterer> the underlying weka clustering class
*/
public class BasicClusterer<TClusterer extends weka.clusterers.Clusterer> {
protected Attribute attrValue;
protected TClusterer clusterer;
protected Instances instances;
public BasicClusterer(TClusterer clusterer) {
attrValue = new Attribute("value");
FastVector attribs = new FastVector(1);
attribs.addElement(attrValue);
instances = new Instances("foo", attribs, 100);
this.clusterer = clusterer;
}
public void addInstance(double value) {
Instance inst = new Instance(1);
inst.setValue(attrValue, value);
instances.add(inst);
}
public void buildClusterer() throws Exception {
clusterer.buildClusterer(instances);
}
public int classify(double value) throws Exception {
Instance inst = new Instance(1);
inst.setValue(attrValue, value);
return clusterer.clusterInstance(inst);
}
public TClusterer getWekaClusterer() {
return clusterer;
}
}