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

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

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    DataStore<Double> dbodscore = computeOutlierScores(database, distFunc, d);

    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Density-Based Outlier Detection", "db-outlier", TypeUtil.DOUBLE, dbodscore, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new ProbabilisticOutlierScore();
    return new OutlierResult(scoreMeta, scoreResult);
  }
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      }
      scores.put(id, score);
    }
    Relation<Double> scoreres = new MaterializedRelation<Double>("By label outlier scores", "label-outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta meta = new ProbabilisticOutlierScore();
    return new OutlierResult(meta, scoreres);
  }
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    for(DBID id : relation.iterDBIDs()) {
      scores.put(id, 1.0);
    }
    Relation<Double> scoreres = new MaterializedRelation<Double>("Trivial all-outlier score", "all-outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta meta = new ProbabilisticOutlierScore();
    return new OutlierResult(meta, scoreres);
  }
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      globmax = Math.max(maxProb, globmax);
    }
    Relation<Double> scoreres = new MaterializedRelation<Double>("EM outlier scores", "em-outlier", TypeUtil.DOUBLE, emo_score, relation.getDBIDs());
    OutlierScoreMeta meta = new ProbabilisticOutlierScore(0.0, globmax);
    // combine results.
    OutlierResult result = new OutlierResult(meta, scoreres);
    // TODO: add a keep-EM flag?
    result.addChildResult(emresult);
    return result;
  }
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      }
    }

    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, 0.0);
    Relation<Double> res = new MaterializedRelation<Double>("Gaussian Mixture Outlier Score", "gaussian-mixture-outlier", TypeUtil.DOUBLE, oscores, relation.getDBIDs());
    return new OutlierResult(meta, res);
  }
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      minmaxabod.put(pair.getFirst());
    }
    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Angle-based Outlier Degree", "abod-outlier", TypeUtil.DOUBLE, abodvalues, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new InvertedOutlierScoreMeta(minmaxabod.getMin(), minmaxabod.getMax(), 0.0, Double.POSITIVE_INFINITY);
    return new OutlierResult(scoreMeta, scoreResult);
  }
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      minmaxabod.put(pair.getFirst());
    }
    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Angle-based Outlier Detection", "abod-outlier", TypeUtil.DOUBLE, abodvalues, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new InvertedOutlierScoreMeta(minmaxabod.getMin(), minmaxabod.getMax(), 0.0, Double.POSITIVE_INFINITY);
    return new OutlierResult(scoreMeta, scoreResult);
  }
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    }

    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Local Outlier Probabilities", "loop-outlier", TypeUtil.DOUBLE, loops, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new ProbabilisticOutlierScore();
    return new OutlierResult(scoreMeta, scoreResult);
  }
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      }
      minmax.put(val);
    }
    Relation<Double> scoreResult = new MaterializedRelation<Double>("AggarwalYuNaive", "aggarwal-yu-outlier", TypeUtil.DOUBLE, sparsity, relation.getDBIDs());
    OutlierScoreMeta meta = new InvertedOutlierScoreMeta(minmax.getMin(), minmax.getMax(), Double.NEGATIVE_INFINITY, 0.0);
    return new OutlierResult(meta, scoreResult);
  }
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    // visualizer to find the reference points in the result
    ReferencePointsResult<V> refp = new ReferencePointsResult<V>("Reference points", "reference-points", refPoints);

    Relation<Double> scoreResult = new MaterializedRelation<Double>("Reference-points Outlier Scores", "reference-outlier", TypeUtil.DOUBLE, rbod_score, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(0.0, 1.0, 0.0, 1.0, 0.0);
    OutlierResult result = new OutlierResult(scoreMeta, scoreResult);
    result.addChildResult(refp);
    return result;
  }
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Related Classes of de.lmu.ifi.dbs.elki.result.outlier.OutlierResult

  • 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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