| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier.meta |
Meta outlier detection algorithms: external scores, score rescaling.
|
| de.lmu.ifi.dbs.elki.evaluation.histogram |
Functionality for the evaluation of algorithms using histograms.
|
| de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model.
|
| de.lmu.ifi.dbs.elki.evaluation.similaritymatrix |
Render a distance matrix to visualize a clustering-distance-combination.
|
| de.lmu.ifi.dbs.elki.utilities.scaling |
Scaling functions: linear, logarithmic, gamma, clipping, ...
|
| de.lmu.ifi.dbs.elki.utilities.scaling.outlier |
Scaling of Outlier scores, that require a statistical analysis of the occurring values
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d |
Visualizers based on 2D projections.
|
| Modifier and Type | Field and Description |
|---|---|
private ScalingFunction |
RescaleMetaOutlierAlgorithm.scaling
Scaling function to use
|
private ScalingFunction |
RescaleMetaOutlierAlgorithm.Parameterizer.scaling
Scaling function to use
|
private ScalingFunction |
ExternalDoubleOutlierScore.scaling
Scaling function to use
|
private ScalingFunction |
ExternalDoubleOutlierScore.Parameterizer.scaling
Scaling function to use
|
| Constructor and Description |
|---|
ExternalDoubleOutlierScore(File file,
Pattern idpattern,
Pattern scorepattern,
boolean inverted,
ScalingFunction scaling)
Constructor.
|
RescaleMetaOutlierAlgorithm(Algorithm algorithm,
ScalingFunction scaling)
Constructor.
|
| Modifier and Type | Field and Description |
|---|---|
private ScalingFunction |
ComputeOutlierHistogram.scaling
Scaling function to use
|
protected ScalingFunction |
ComputeOutlierHistogram.Parameterizer.scaling
Scaling function to use
|
| Constructor and Description |
|---|
ComputeOutlierHistogram(Pattern positive_class_name,
int bins,
ScalingFunction scaling,
boolean splitfreq)
Constructor.
|
| Modifier and Type | Field and Description |
|---|---|
private ScalingFunction |
JudgeOutlierScores.scaling
Scaling function to use
|
private ScalingFunction |
JudgeOutlierScores.Parameterizer.scaling
Scaling function to use
|
| Constructor and Description |
|---|
JudgeOutlierScores(Pattern positive_class_name,
ScalingFunction scaling)
Constructor.
|
| Modifier and Type | Field and Description |
|---|---|
private ScalingFunction |
ComputeSimilarityMatrixImage.scaling
Scaling function to use
|
private ScalingFunction |
ComputeSimilarityMatrixImage.Parameterizer.scaling
Scaling function to use
|
| Constructor and Description |
|---|
ComputeSimilarityMatrixImage(DistanceFunction<? super O,? extends NumberDistance<?,?>> distanceFunction,
ScalingFunction scaling,
boolean skipzero)
Constructor.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
StaticScalingFunction
Interface for Scaling functions that do NOT depend on analyzing the data set.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ClipScaling
Scale implementing a simple clipping.
|
class |
GammaScaling
Non-linear scaling function using a Gamma curve.
|
class |
IdentityScaling
The trivial "identity" scaling function.
|
class |
LinearScaling
Simple linear scaling function.
|
class |
MinusLogScaling
Scaling function to invert values by computing -1 * Math.log(x)
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
OutlierScalingFunction
Interface for scaling functions used by Outlier evaluation such as Histograms
and visualization.
|
| Modifier and Type | Class and Description |
|---|---|
class |
HeDESNormalizationOutlierScaling
Normalization used by HeDES
|
class |
MinusLogGammaScaling
Scaling that can map arbitrary values to a probability in the range of [0:1],
by assuming a Gamma distribution on the data and evaluating the Gamma CDF.
|
class |
MinusLogStandardDeviationScaling
Scaling that can map arbitrary values to a probability in the range of [0:1].
|
class |
MixtureModelOutlierScalingFunction
Tries to fit a mixture model (exponential for inliers and gaussian for
outliers) to the outlier score distribution.
|
class |
MultiplicativeInverseScaling
Scaling function to invert values basically by computing 1/x, but in a variation
that maps the values to the [0:1] interval and avoiding division by 0.
|
class |
OutlierGammaScaling
Scaling that can map arbitrary values to a probability in the range of [0:1]
by assuming a Gamma distribution on the values.
|
class |
OutlierLinearScaling
Scaling that can map arbitrary values to a probability in the range of [0:1].
|
class |
OutlierMinusLogScaling
Scaling function to invert values by computing -1 * Math.log(x)
Useful for example for scaling
ABOD, but see
MinusLogStandardDeviationScaling and MinusLogGammaScaling for
more advanced scalings for this algorithm. |
class |
OutlierSqrtScaling
Scaling that can map arbitrary positive values to a value in the range of
[0:1].
|
class |
RankingPseudoOutlierScaling
This is a pseudo outlier scoring obtained by only considering the ranks of
the objects.
|
class |
SigmoidOutlierScalingFunction
Tries to fit a sigmoid to the outlier scores and use it to convert the values
to probability estimates in the range of 0.0 to 1.0
|
class |
SqrtStandardDeviationScaling
Scaling that can map arbitrary values to a probability in the range of [0:1].
|
class |
StandardDeviationScaling
Scaling that can map arbitrary values to a probability in the range of [0:1].
|
class |
TopKOutlierScaling
Outlier scaling function that only keeps the top k outliers.
|
| Modifier and Type | Field and Description |
|---|---|
protected ScalingFunction |
BubbleVisualization.scaling
Scaling function to use for Bubbles
|
protected ScalingFunction |
BubbleVisualization.Factory.scaling
Scaling function to use for Bubbles
|
protected ScalingFunction |
BubbleVisualization.Factory.Parameterizer.scaling
Scaling function to use for Bubbles
|
| Constructor and Description |
|---|
BubbleVisualization.Factory(boolean fill,
ScalingFunction scaling)
Constructor.
|
BubbleVisualization(VisualizationTask task,
ScalingFunction scaling)
Constructor.
|