Examples of de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Package de.lmu.ifi.dbs.elki.data.synthetic.bymodel

Examples of de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster
Class to generate a single cluster according to a model as well as getting the density of a given model at that point (to evaluate generated points according to the same model) @author Erich Schubert @apiviz.composedOf Distribution @apiviz.composedOf AffineTransformation

      outStream.write("########################################################" + LINE_SEPARATOR);
      outStream.write("## Cluster: " + curclus.getName() + LINE_SEPARATOR);
      outStream.write("########################################################" + LINE_SEPARATOR);
      outStream.write("## Size: " + curclus.getSize() + LINE_SEPARATOR);
      if(curclus instanceof GeneratorSingleCluster) {
        GeneratorSingleCluster cursclus = (GeneratorSingleCluster) curclus;
        Vector cmin = cursclus.getClipmin();
        Vector cmax = cursclus.getClipmax();
        if(cmin != null && cmax != null) {
          outStream.write("## Clipping: " + cmin.toString() + " - " + cmax.toString() + LINE_SEPARATOR);
        }
        outStream.write("## Density correction factor: " + cursclus.getDensityCorrection() + LINE_SEPARATOR);
        outStream.write("## Generators:" + LINE_SEPARATOR);
        for(Distribution gen : cursclus.getAxes()) {
          outStream.write("##   " + gen.toString() + LINE_SEPARATOR);
        }
        if(cursclus.getTrans() != null && cursclus.getTrans().getTransformation() != null) {
          outStream.write("## Affine transformation matrix:" + LINE_SEPARATOR);
          outStream.write(FormatUtil.format(cursclus.getTrans().getTransformation(), "## ") + LINE_SEPARATOR);
        }
      }
      if(curclus instanceof GeneratorInterfaceDynamic) {
        GeneratorSingleCluster cursclus = (GeneratorSingleCluster) curclus;
        outStream.write("## Discards: " + cursclus.getDiscarded() + " Retries left: " + cursclus.getRetries() + LINE_SEPARATOR);
        double corf = /* cursclus.overweight */(double) (cursclus.getSize() + cursclus.getDiscarded()) / cursclus.getSize() / globdens;
        outStream.write("## Density correction factor estimation: " + corf + LINE_SEPARATOR);


      }
      outStream.write("########################################################" + LINE_SEPARATOR);
      for(Vector p : curclus.getPoints()) {

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    for(Model model : models) {
      TIntList ids = modelMap.get(model);
      outStream.write("########################################################" + LINE_SEPARATOR);
      outStream.write("## Size: " + ids.size() + LINE_SEPARATOR);
      if(model instanceof GeneratorSingleCluster) {
        GeneratorSingleCluster cursclus = (GeneratorSingleCluster) model;
        outStream.write("########################################################" + LINE_SEPARATOR);
        outStream.write("## Cluster: " + cursclus.getName() + LINE_SEPARATOR);
        Vector cmin = cursclus.getClipmin();
        Vector cmax = cursclus.getClipmax();
        if(cmin != null && cmax != null) {
          outStream.write("## Clipping: " + cmin.toString() + " - " + cmax.toString() + LINE_SEPARATOR);
        }
        outStream.write("## Density correction factor: " + cursclus.getDensityCorrection() + LINE_SEPARATOR);
        outStream.write("## Generators:" + LINE_SEPARATOR);
        for(int i = 0; i < cursclus.getDim(); i++) {
          Distribution gen = cursclus.getDistribution(i);
          outStream.write("##   " + gen.toString() + LINE_SEPARATOR);
        }
        if(cursclus.getTransformation() != null && cursclus.getTransformation().getTransformation() != null) {
          outStream.write("## Affine transformation matrix:" + LINE_SEPARATOR);
          outStream.write(FormatUtil.format(cursclus.getTransformation().getTransformation(), "## ") + LINE_SEPARATOR);
        }
        outStream.write("## Discards: " + cursclus.getDiscarded() + " Retries left: " + cursclus.getRetries() + LINE_SEPARATOR);
        double corf = /* cursclus.overweight */(double) (cursclus.getSize() + cursclus.getDiscarded()) / cursclus.getSize() / globdens;
        outStream.write("## Density correction factor estimation: " + corf + LINE_SEPARATOR);


      }
      outStream.write("########################################################" + LINE_SEPARATOR);
      for(TIntIterator iter = ids.iterator(); iter.hasNext();) {

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      throw new UnableToComplyException("No cluster name given in specification file.");
    }


    // *** add new cluster object
    Random newRand = new Random(clusterRandom.nextLong());
    GeneratorSingleCluster cluster = new GeneratorSingleCluster(name, size, overweight, newRand);


    // TODO: check for unknown attributes.
    for(Node child : new XMLNodeIterator(cur.getFirstChild())) {
      if(child.getNodeName() == "uniform") {
        processElementUniform(cluster, child);

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      throw new UnableToComplyException("No cluster name given in specification file.");
    }


    // *** add new cluster object
    Random newRand = new Random(clusterRandom.nextLong());
    GeneratorSingleCluster cluster = new GeneratorSingleCluster(name, size, overweight, newRand);


    // TODO: check for unknown attributes.
    for(Node child : new XMLNodeIterator(cur.getFirstChild())) {
      if(child.getNodeName() == "uniform") {
        processElementUniform(cluster, child);

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Related Classes of de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

java.util.Random

de.lmu.ifi.dbs.elki.utilities.exceptions.UnableToComplyException

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