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

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

74
75
76
77
78
79
80
81
82
83
    // setup Algorithm
    FeatureBagging fb = ClassGenericsUtil.parameterizeOrAbort(FeatureBagging.class, params);
    testParameterizationOk(params);

    // run AggarwalYuEvolutionary on database
    OutlierResult result = fb.run(db);

    testSingleScore(result, 1293, 1.321709879);
    testAUC(db, "Noise", result, 0.88466106);
  }
View Full Code Here
125
126
127
128
129
130
131
132
133
      scores.put(id, score);
    }

    Relation<Double> scoreResult = new MaterializedRelation<Double>("mean multiple attributes spatial outlier", "mean-multipleattributes-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;
  }
View Full Code Here
220
221
222
223
224
225
226
      scores.put(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);
  }
View Full Code Here
151
152
153
154
155
156
157
158
159
      scores.put(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;
  }
View Full Code Here
132
133
134
135
136
137
138
139
140
      scores.put(id, score);
    }

    Relation<Double> scoreResult = new MaterializedRelation<Double>("MO", "Median-outlier", 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;
  }
View Full Code Here
151
152
153
154
155
156
157
      }
    }

    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);
  }
View Full Code Here
186
187
188
189
190
191
192
193
194
      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;
  }
View Full Code Here
159
160
161
162
163
164
165
166
167
      }
    }
    // build representation
    Relation<Double> scoreResult = new MaterializedRelation<Double>("SPO", "Scatterplot-Outlier", 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;
  }
View Full Code Here
49
50
51
52
53
54
55
56
57
58
    // setup Algorithm
    GaussianUniformMixture<DoubleVector> gaussianUniformMixture = ClassGenericsUtil.parameterizeOrAbort(GaussianUniformMixture.class, params);
    testParameterizationOk(params);

    // run GaussianUniformMixture on database
    OutlierResult result = gaussianUniformMixture.run(db);

    testSingleScore(result, 1025, -20.2862041);
    testAUC(db, "Noise", result, 0.94404102);
  }
View Full Code Here
52
53
54
55
56
57
58
59
60
61
    // setup Algorithm
    OPTICSOF<DoubleVector, DoubleDistance> opticsof = ClassGenericsUtil.parameterizeOrAbort(OPTICSOF.class, params);
    testParameterizationOk(params);

    // run OPTICSOF on database
    OutlierResult result = opticsof.run(db);

    testSingleScore(result, 416, 1.6108343626651815);
    testAUC(db, "Noise", result, 0.9058);
  }
View Full Code Here
TOP

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
    • Copyright © 2018 www.massapicom. All rights reserved.
    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.