MultiDimClusterer.java

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package edu.tum.cs.clustering.multidim;

import java.lang.reflect.InvocationTargetException;

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

public class MultiDimClusterer<TClusterer extends weka.clusterers.Clusterer> {
        protected Attribute[] attrs;
        protected TClusterer clusterer;
        protected Instances instances;
        protected int dimensions;

        public MultiDimClusterer(TClusterer clusterer, int dimensions) throws NoSuchMethodException, IllegalAccessException, InvocationTargetException, InstantiationException {                
                this.clusterer = clusterer;
                FastVector attribs = new FastVector(dimensions);
                for(int i = 0; i < dimensions; i++) 
                        attribs.addElement(new Attribute(String.format("v%d", i)));             
                instances = new Instances("foo", attribs, 100);                         
        }
        
        public void addInstance(double[] v) {
                /*Instance inst = new Instance(attrs.length);
                for(int i = 0; i < attrs.length; i++)
                        inst.setValue(attrs[i], v[i]);*/
                instances.add(new Instance(1.0, v));
        }
        
        public void buildClusterer() throws Exception {
                clusterer.buildClusterer(instances);
        }
        
        public int classify(double[] v) throws Exception {
                Instance inst = new Instance(1.0, v);
                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