Package edu.mit.simile.vicino.distances

Examples of edu.mit.simile.vicino.distances.Distance

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import edu.mit.simile.vicino.distances.Distance;

public class Meter extends Operator {

    public static void main(String[] args) throws Exception {
        Distance d = getDistance(args[0]);
        System.out.println(args[1] + " <- " + d.d(args[1], args[2]) + " -> " + args[2]);
    }
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    private static final int COLUMNS = 70;
    private static final char CHAR = '=';

    public static void main(String[] args) throws Exception {
       
        Distance d = getDistance(args[0]);

        List<String> strings = getStrings(args[1]);

        int buckets = Integer.parseInt(args[2]);

        long start = System.currentTimeMillis();
        int[] values = new int[buckets];

        int size = strings.size();
        for (int i = 0; i < size; i++) {
            String x = (String) strings.get((int) (Math.random() * size));
            String y = (String) strings.get((int) (Math.random() * size));
            int dist = (int) (buckets * d.d(x, y));
            values[dist]++;
            System.out.print(".");
        }
        System.out.println();

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import edu.mit.simile.vicino.distances.Distance;

public class Tester extends Operator {

    public static void main(String[] args) throws Exception {
        Distance d = getDistance(args[0]);

        List<String> strings = getStrings(args[1]);

        long start = System.currentTimeMillis();
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import edu.mit.simile.vicino.vptree.VPTreeSeeker;

public class Seeker extends Operator {

    public static void main(String[] args) throws Exception {
        Distance d = getDistance(args[0]);

        log("Working with distance: " + d);
        List<String> strings = getStrings(args[1]);
        log("Obtained " + strings.size() + " from " + args[1]);
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    public static void main(String[] args) throws Exception {
        (new Cluster()).init(args);
    }
   
    public void init(String[] args) throws Exception {
        Distance distance = getDistance(args[0]);
        List<String> strings = getStrings(args[1]);
        double radius = Double.parseDouble(args[2]);
        int blocking_size = Integer.parseInt(args[3]);

        long vptree_start = System.currentTimeMillis();
        Clusterer vptree_clusterer = new VPTreeClusterer(distance);
        for (String s: strings) {
            vptree_clusterer.populate(s);
        }
        List<Set<Serializable>> vptree_clusters = vptree_clusterer.getClusters(radius);
        long vptree_elapsed = System.currentTimeMillis() - vptree_start;
        int vptree_distances = distance.getCount();
        distance.resetCounter();
       
        long ngram_start = System.currentTimeMillis();
        Clusterer ngram_clusterer = new NGramClusterer(distance,blocking_size);
        for (String s: strings) {
            ngram_clusterer.populate(s);
        }
        List<Set<Serializable>> ngram_clusters = ngram_clusterer.getClusters(radius);
        long ngram_elapsed = System.currentTimeMillis() - ngram_start;
        int ngram_distances = distance.getCount();
        distance.resetCounter();
       
        log("VPTree found " + vptree_clusters.size() + " in " + vptree_elapsed + " ms with " + vptree_distances + " distances\n");
        log("NGram  found " + ngram_clusters.size() + " in " + ngram_elapsed + " ms with " + ngram_distances + " distances\n");
               
        if (vptree_clusters.size() > ngram_clusters.size()) {
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Related Classes of edu.mit.simile.vicino.distances.Distance

  • edu.mit.simile.vicino.Cluster
  • edu.mit.simile.vicino.Distributor
  • edu.mit.simile.vicino.Meter
  • edu.mit.simile.vicino.Seeker
  • edu.mit.simile.vicino.Tester
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