Package | Description |
---|---|
de.lmu.ifi.dbs.elki.database.relation |
Relations, materialized and virtual (views)
|
de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model
|
de.lmu.ifi.dbs.elki.evaluation.scores.adapter |
Adapter classes for ranking and scoring measures.
|
de.lmu.ifi.dbs.elki.result.outlier |
Outlier result classes
|
de.lmu.ifi.dbs.elki.utilities.scaling.outlier |
Scaling of outlier scores, that require a statistical analysis of the
occurring values
|
Modifier and Type | Class and Description |
---|---|
class |
MaterializedDoubleRelation
Represents a single representation.
|
Modifier and Type | Field and Description |
---|---|
private DoubleRelation |
RelationUtil.AscendingByDoubleRelation.scores
Scores to use for sorting.
|
private DoubleRelation |
RelationUtil.DescendingByDoubleRelation.scores
Scores to use for sorting.
|
Constructor and Description |
---|
AscendingByDoubleRelation(DoubleRelation scores)
Constructor.
|
DescendingByDoubleRelation(DoubleRelation scores)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
private OutlierPrecisionRecallCurve.PRCurve |
OutlierPrecisionRecallCurve.computePrecisionResult(SetDBIDs ids,
DBIDIter iter,
DoubleRelation scores) |
Modifier and Type | Field and Description |
---|---|
private DoubleRelation |
OutlierScoreAdapter.scores
Outlier score.
|
Modifier and Type | Field and Description |
---|---|
private DoubleRelation |
OutlierResult.scores
Outlier scores.
|
protected DoubleRelation |
OrderingFromRelation.scores
Outlier scores.
|
Modifier and Type | Method and Description |
---|---|
DoubleRelation |
OutlierResult.getScores()
Get the outlier scores association.
|
Constructor and Description |
---|
OrderingFromRelation(DoubleRelation scores)
Ascending constructor.
|
OrderingFromRelation(DoubleRelation scores,
boolean ascending)
Constructor for outlier orderings
|
OutlierResult(OutlierScoreMeta meta,
DoubleRelation scores)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
private double[] |
SigmoidOutlierScaling.MStepLevenbergMarquardt(double a,
double b,
ArrayDBIDs ids,
long[] t,
DoubleRelation scores)
M-Step using a modified Levenberg-Marquardt method.
|
Copyright © 2019 ELKI Development Team. License information.