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

Examples of de.lmu.ifi.dbs.elki.data.DoubleVector

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    // run OnlineLOF on database
    OutlierResult result = lof.run(db);

    // insert new objects
    ArrayList<DoubleVector> insertions = new ArrayList<DoubleVector>();
    DoubleVector o = DatabaseUtil.assumeVectorField(rep).getFactory();
    Random random = new Random(seed);
    for(int i = 0; i < size; i++) {
      DoubleVector obj = VectorUtil.randomVector(o, random);
      insertions.add(obj);
    }
    DBIDs deletions = db.insert(MultipleObjectsBundle.makeSimple(rep.getDataTypeInformation(), insertions));

    // delete objects
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    int i = 0;
    for(int d = selectedAttributes.nextSetBit(0); d >= 0; d = selectedAttributes.nextSetBit(d + 1)) {
      newAttributes[i] = v.doubleValue(d + 1);
      i++;
    }
    DoubleVector projectedVector = new DoubleVector(newAttributes);
    return projectedVector;
  }
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    derivator = parameters.tryInstantiate(cls);

    CorrelationAnalysisSolution<DoubleVector> model = derivator.run(derivatorDB);

    Matrix weightMatrix = model.getSimilarityMatrix();
    DoubleVector centroid = new DoubleVector(model.getCentroid());
    DistanceQuery<DoubleVector, DoubleDistance> df = QueryUtil.getDistanceQuery(derivatorDB, new WeightedDistanceFunction(weightMatrix));
    DoubleDistance eps = df.getDistanceFactory().parseString("0.25");

    ids.addDBIDs(interval.getIDs());
    // Search for nearby vectors in original database
    for(DBID id : relation.iterDBIDs()) {
      DoubleVector v = new DoubleVector(relation.get(id).getColumnVector().getArrayRef());
      DoubleDistance d = df.distance(v, centroid);
      if(d.compareTo(eps) < 0) {
        ids.add(id);
      }
    }
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   */
  private Database buildDerivatorDB(Relation<ParameterizationFunction> relation, CASHInterval interval) throws UnableToComplyException {
    DBIDs ids = interval.getIDs();
    ProxyDatabase proxy = new ProxyDatabase(ids);
    int dim = relation.get(ids.iterator().next()).getDimensionality();
    SimpleTypeInformation<DoubleVector> type = new VectorFieldTypeInformation<DoubleVector>(DoubleVector.class, dim, new DoubleVector(new double[dim]));
    MaterializedRelation<DoubleVector> prep = new MaterializedRelation<DoubleVector>(proxy, type, ids);
    proxy.addRelation(prep);

    // Project
    for(DBID id : ids) {
      DoubleVector v = new DoubleVector(relation.get(id).getColumnVector().getArrayRef());
      prep.set(id, v);
    }

    if(logger.isDebugging()) {
      logger.debugFine("db fuer derivator : " + prep.size());
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   *         possible
   */
  private Database buildDerivatorDB(Relation<ParameterizationFunction> relation, DBIDs ids) throws UnableToComplyException {
    ProxyDatabase proxy = new ProxyDatabase(ids);
    int dim = relation.get(ids.iterator().next()).getDimensionality();
    SimpleTypeInformation<DoubleVector> type = new VectorFieldTypeInformation<DoubleVector>(DoubleVector.class, dim, new DoubleVector(new double[dim]));
    MaterializedRelation<DoubleVector> prep = new MaterializedRelation<DoubleVector>(proxy, type, ids);
    proxy.addRelation(prep);

    // Project
    for(DBID id : ids) {
      DoubleVector v = new DoubleVector(relation.get(id).getColumnVector().getArrayRef());
      prep.set(id, v);
    }

    return proxy;
  }
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    // run OnlineLOF on database
    OutlierResult result = lof.run(db);

    // insert new objects
    ArrayList<DoubleVector> insertions = new ArrayList<DoubleVector>();
    DoubleVector o = DatabaseUtil.assumeVectorField(rep).getFactory();
    Random random = new Random(seed);
    for(int i = 0; i < size; i++) {
      DoubleVector obj = VectorUtil.randomVector(o, random);
      insertions.add(obj);
    }
    DBIDs deletions = db.insert(MultipleObjectsBundle.makeSimple(rep.getDataTypeInformation(), insertions));

    // delete objects
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          gini += rel * rel;
        }
        mv.put(gini);
      }
      Collection<DoubleVector> col = new java.util.Vector<DoubleVector>();
      col.add(new DoubleVector(new double[] { mv.getMean(), mv.getSampleStddev() }));
      database.getHierarchy().add((Result) index, new CollectionResult<DoubleVector>("Gini coefficient of index", "index-gini", col));
    }
  }
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    // turn into Collection

    Collection<DoubleVector> collHist = new ArrayList<DoubleVector>(hist.getNumBins());
    for(Pair<Double, Pair<Double, Double>> ppair : hist) {
      Pair<Double, Double> data = ppair.getSecond();
      DoubleVector row = new DoubleVector(new double[] { ppair.getFirst(), data.getFirst(), data.getSecond() });
      collHist.add(row);
    }
    return new HistogramResult<DoubleVector>("Outlier Score Histogram", "outlier-histogram", collHist);
  }
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    }

    // Transform Histogram into a Double Vector array.
    Collection<DoubleVector> res = new ArrayList<DoubleVector>(relation.size());
    for(Pair<Double, Double> pair : hist) {
      DoubleVector row = new DoubleVector(new double[] { pair.getFirst(), pair.getSecond() });
      res.add(row);
    }
    HistogramResult<DoubleVector> result = new HistogramResult<DoubleVector>("Ranking Quality Histogram", "ranking-histogram", res);
    result.addHeader("Mean: " + mv.getMean() + " Variance: " + mv.getSampleVariance());
    return result;
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    int i = 0;
    for(int d = selectedAttributes.nextSetBit(0); d >= 0; d = selectedAttributes.nextSetBit(d + 1)) {
      newAttributes[i] = v.doubleValue(d + 1);
      i++;
    }
    DoubleVector projectedVector = new DoubleVector(newAttributes);
    return projectedVector;
  }
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Related Classes of de.lmu.ifi.dbs.elki.data.DoubleVector

  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
  • de.lmu.ifi.dbs.elki.algorithm.outlier.TestOnlineLOF
  • de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses
  • de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality
  • de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram
  • de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain
  • de.lmu.ifi.dbs.elki.datasource.filter.DoubleVectorProjectionFilter
  • de.lmu.ifi.dbs.elki.datasource.filter.DoubleVectorRandomProjectionFilter
  • de.lmu.ifi.dbs.elki.datasource.parser.ArffParser
  • de.lmu.ifi.dbs.elki.datasource.parser.DoubleVectorLabelParser
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