BasicClusterer.java

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package edu.tum.cs.clustering;

import weka.core.Attribute;
import weka.core.FastVector;
import weka.core.Instance;
import weka.core.Instances;

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;
        }
}

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srldb
Author(s): Dominik Jain, Stefan Waldherr, Moritz Tenorth
autogenerated on Fri Jan 11 09:58:29 2013