Package org.apache.mahout.clustering

Examples of org.apache.mahout.clustering.AbstractCluster

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        mapper.map(new Text(), point, mapContext);
      }
      assertEquals("Number of map results", k + 1, mapWriter.getData().size());
      Map<String, Cluster> clusterMap = loadClusterMap(clusters);
      for (Text key : mapWriter.getKeys()) {
        AbstractCluster cluster = clusterMap.get(key.toString());
        List<ClusterObservations> values = mapWriter.getValue(key);
        for (ClusterObservations value : values) {
          double distance = measure.distance(cluster.getCenter(), value.getS1());
          for (AbstractCluster c : clusters) {
            assertTrue("distance error", distance <= measure.distance(value.getS1(), c.getCenter()));
          }
        }
      }
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  public void outputPointWithClusterInfo(Vector vector,
                                         Iterable<Cluster> clusters,
                                         Mapper<?,?,IntWritable,WeightedVectorWritable>.Context context)
    throws IOException, InterruptedException {
    AbstractCluster nearestCluster = null;
    double nearestDistance = Double.MAX_VALUE;
    for (AbstractCluster cluster : clusters) {
      Vector clusterCenter = cluster.getCenter();
      double distance = measure.distance(clusterCenter.getLengthSquared(), clusterCenter, vector);
      if (distance < nearestDistance || nearestCluster == null) {
        nearestCluster = cluster;
        nearestDistance = distance;
      }
    }
    context.write(new IntWritable(nearestCluster.getId()), new WeightedVectorWritable(1, vector));
  }
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   * @param clusters
   *          a List<Cluster> to test.
   */
  protected void emitPointToNearestCluster(Vector point, Iterable<Cluster> clusters, Writer writer)
    throws IOException {
    AbstractCluster nearestCluster = null;
    double nearestDistance = Double.MAX_VALUE;
    for (AbstractCluster cluster : clusters) {
      Vector clusterCenter = cluster.getCenter();
      double distance = this.measure.distance(clusterCenter.getLengthSquared(), clusterCenter, point);
      if (log.isDebugEnabled()) {
        log.debug("{} Cluster: {}", distance, cluster.getId());
      }
      if (distance < nearestDistance || nearestCluster == null) {
        nearestCluster = cluster;
        nearestDistance = distance;
      }
    }
    writer.append(new IntWritable(nearestCluster.getId()), new WeightedVectorWritable(1, point));
  }
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