Package de.lmu.ifi.dbs.elki.result.outlier

Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

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      scores.putDouble(id, score);
      minmax.put(score);
    }
    //
    Relation<Double> scoreResult = new MaterializedRelation<Double>("TrimmedMean", "Trimmed Mean Score", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }
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    }
    if(progressLOCI != null) {
      progressLOCI.ensureCompleted(logger);
    }
    Relation<Double> scoreResult = new MaterializedRelation<Double>("LOCI normalized MDEF", "loci-mdef-outlier", TypeUtil.DOUBLE, mdef_norm, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(minmax.getMin(), minmax.getMax(), Double.POSITIVE_INFINITY, 0.0);
    OutlierResult result = new OutlierResult(scoreMeta, scoreResult);
    result.addChildResult(new MaterializedRelation<Double>("LOCI MDEF Radius", "loci-critical-radius", TypeUtil.DOUBLE, mdef_radius, relation.getDBIDs()));
    return result;
  }
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      mm.put(prob);
      oscores.putDouble(id, prob);
    }

    final OutlierScoreMeta meta;
    if(invert) {
      double max = mm.getMax() != 0 ? mm.getMax() : 1.;
      for(DBID id : relation.iterDBIDs()) {
        oscores.putDouble(id, (max - oscores.doubleValue(id)) / max);
      }
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      val = scaling.getScaled(val);
      scaledscores.putDouble(id, val);
      minmax.put(val);
    }

    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), scaling.getMin(), scaling.getMax());
    Relation<Double> scoresult = new MaterializedRelation<Double>("Scaled Outlier", "scaled-outlier", TypeUtil.DOUBLE, scaledscores, scores.getDBIDs());
    OutlierResult result = new OutlierResult(meta, scoresult);
    result.addChildResult(innerresult);

    return result;
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        val = 0.0;
      }
      minmax.put(val);
    }
    Relation<Double> scoreResult = new MaterializedRelation<Double>("AggarwalYuEvolutionary", "aggarwal-yu-outlier", TypeUtil.DOUBLE, outlierScore, relation.getDBIDs());
    OutlierScoreMeta meta = new InvertedOutlierScoreMeta(minmax.getMin(), minmax.getMax(), Double.NEGATIVE_INFINITY, 0.0);
    return new OutlierResult(meta, scoreResult);
  }
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      }
      if(cprog != null) {
        cprog.ensureCompleted(logger);
      }
    }
    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax());
    Relation<Double> scoreres = new MaterializedRelation<Double>("Feature bagging", "fb-outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    return new OutlierResult(meta, scoreres);
  }
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        scores.putDouble(id, 0.0);
      }
    }

    Relation<Double> scoreResult = new MaterializedRelation<Double>("GLSSODBackward", "GLSSODbackward-outlier", TypeUtil.DOUBLE, scores, relationx.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(mm.getMin(), mm.getMax(), 0, Double.POSITIVE_INFINITY, 0);
    return new OutlierResult(scoreMeta, scoreResult);
  }
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      sloms.putDouble(id, slom);
      slomminmax.put(slom);
    }

    Relation<Double> scoreResult = new MaterializedRelation<Double>("SLOM", "slom-outlier", TypeUtil.DOUBLE, sloms, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(slomminmax.getMin(), slomminmax.getMax(), 0.0, Double.POSITIVE_INFINITY);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }
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      minmax.put(score);
      scores.putDouble(id, score);
    }

    Relation<Double> scoreResult = new MaterializedRelation<Double>("randomwalkec", "RandomWalkEC", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0.0);
    return new OutlierResult(scoreMeta, scoreResult);
  }
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      minmax.put(score);
      scores.putDouble(id, score);
    }

    Relation<Double> scoreResult = new MaterializedRelation<Double>("Median multiple attributes outlier", "median-outlier", TypeUtil.DOUBLE, scores, attributes.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }
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Related Classes of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

  • de.lmu.ifi.dbs.elki.algorithm.outlier.ABOD
  • de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractDBOutlier
  • de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary
  • de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuNaive
  • de.lmu.ifi.dbs.elki.algorithm.outlier.EMOutlier
  • de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel
  • de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture
  • de.lmu.ifi.dbs.elki.algorithm.outlier.INFLO
  • de.lmu.ifi.dbs.elki.algorithm.outlier.KNNOutlier
  • de.lmu.ifi.dbs.elki.algorithm.outlier.KNNWeightOutlier
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