Examples of Centroid

eu.stratosphere.example.java.clustering.KMeans.Centroid
fuzzy4j.flc.defuzzify.Centroid
Support Centroid-type defuzzification. @author Soren A. Davidsen
org.apache.flink.examples.java.clustering.KMeans.Centroid
org.apache.mahout.math.Centroid
A centroid is a weighted vector. We have it delegate to the vector itself for lots of operations to make it easy to use vector search classes and such.
org.neo4j.gis.spatial.pipes.processing.Centroid
Calculates geometry centroid. Item geometry is replaced by pipe output unless an alternative property name is given in the constructor.

Examples of org.apache.mahout.math.Centroid

    return Iterables.transform(dirIterable, new Function<ClusterWritable, Centroid>() {
      int numClusters = 0;
      @Override
      public Centroid apply(ClusterWritable input) {
        Preconditions.checkNotNull(input);
        return new Centroid(numClusters++, input.getValue().getCenter().clone(),
            input.getValue().getTotalObservations());
      }
    });
  }

View Full Code Here

Examples of org.apache.mahout.math.Centroid

    Iterator<Centroid> dataPointsIterator = dataPoints.iterator();


    if (estimateDistanceCutoff == StreamingKMeansDriver.INVALID_DISTANCE_CUTOFF) {
      List<Centroid> estimatePoints = Lists.newArrayListWithExpectedSize(NUM_ESTIMATE_POINTS);
      while (dataPointsIterator.hasNext() && estimatePoints.size() < NUM_ESTIMATE_POINTS) {
        Centroid centroid = dataPointsIterator.next();
        estimatePoints.add(centroid);
      }


      if (log.isInfoEnabled()) {
        log.info("Estimated Points: {}", estimatePoints.size());

View Full Code Here

Examples of org.apache.mahout.math.Centroid

    estimateDistanceCutoff = false;
  }


  @Override
  public void map(Writable key, VectorWritable point, Context context) {
    Centroid centroid = new Centroid(numPoints++, point.get(), 1);
    if (estimateDistanceCutoff) {
      if (numPoints < NUM_ESTIMATE_POINTS) {
        estimatePoints.add(centroid);
      } else if (numPoints == NUM_ESTIMATE_POINTS) {
        clusterEstimatePoints();

View Full Code Here

Examples of org.apache.mahout.math.Centroid

    SequenceFile.Writer writer = SequenceFile.createWriter(FileSystem.get(conf), conf, new Path(output, "part-r-00000"), IntWritable.class,
        CentroidWritable.class);
    int numCentroids = 0;
    // Run BallKMeans on the intermediate centroids.
    for (Vector finalVector : StreamingKMeansReducer.getBestCentroids(intermediateCentroids, conf)) {
      Centroid finalCentroid = (Centroid)finalVector;
      writer.append(new IntWritable(numCentroids++), new CentroidWritable(finalCentroid));
    }
    writer.close();
    long end = System.currentTimeMillis();
    log.info("Finished BallKMeans. Took {}.", (end - start) / 1000.0);

View Full Code Here

Examples of org.apache.mahout.math.Centroid

    return Iterables.transform(dirIterable, new Function<ClusterWritable, Centroid>() {
      int numClusters = 0;
      @Override
      public Centroid apply(ClusterWritable input) {
        Preconditions.checkNotNull(input);
        return new Centroid(numClusters++, input.getValue().getCenter().clone(),
            input.getValue().getTotalObservations());
      }
    });
  }

View Full Code Here

Examples of org.apache.mahout.math.Centroid

    }
    for (int i = 0; i < searcher.size(); ++i) {
      summarizers.add(new OnlineSummarizer());
    }
    for (Vector v : datapoints) {
      Centroid closest = (Centroid)searcher.search(v,  1).get(0).getValue();
      OnlineSummarizer summarizer = summarizers.get(closest.getIndex());
      summarizer.add(distanceMeasure.distance(v, closest));
    }
    return summarizers;
  }

View Full Code Here

Examples of org.apache.mahout.math.Centroid

      int pow2J = 1 << (numDimensions - 1);
      for (int j = 0; j < numDimensions; ++j) {
        v.set(j, 1.0 / pow2J * (i & pow2J));
        pow2J >>= 1;
      }
      mean.add(new Centroid(i, v, 1));
      rowSamplers.add(new MultiNormal(distributionRadius, v));
    }


    // Sample the requested number of data points.
    List<Centroid> data = Lists.newArrayListWithCapacity(numDatapoints);
    for (int i = 0; i < numDatapoints; ++i) {
      data.add(new Centroid(i, rowSamplers.get(i % pow2N).sample(), 1));
    }
    return new Pair<List<Centroid>, List<Centroid>>(data, mean);
  }

View Full Code Here

Examples of org.apache.mahout.math.Centroid

    }
    for (int i = 0; i < searcher.size(); ++i) {
      summarizers.add(new OnlineSummarizer());
    }
    for (Vector v : datapoints) {
      Centroid closest = (Centroid)searcher.search(v,  1).get(0).getValue();
      OnlineSummarizer summarizer = summarizers.get(closest.getIndex());
      summarizer.add(distanceMeasure.distance(v, closest));
    }
    return summarizers;
  }

View Full Code Here

Examples of org.neo4j.gis.spatial.pipes.processing.Centroid

    
    /**
     * @see Centroid
     */
    public GeoPipeline toCentroid() {
      return addPipe(new Centroid());
    }

View Full Code Here

0 1 2

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.