Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.outlier.meta |
Meta outlier detection algorithms: external scores, score rescaling.
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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.
|
Class and Description |
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ScalingFunction
Interface for scaling functions used e.g. by outlier evaluation such as
Histograms and visualization.
|
Class and Description |
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ScalingFunction
Interface for scaling functions used e.g. by outlier evaluation such as
Histograms and visualization.
|
Class and Description |
---|
ScalingFunction
Interface for scaling functions used e.g. by outlier evaluation such as
Histograms and visualization.
|
Class and Description |
---|
ScalingFunction
Interface for scaling functions used e.g. by outlier evaluation such as
Histograms and visualization.
|
Class and Description |
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ClipScaling
Scale implementing a simple clipping.
|
GammaScaling
Non-linear scaling function using a Gamma curve.
|
LinearScaling
Simple linear scaling function.
|
ScalingFunction
Interface for scaling functions used e.g. by outlier evaluation such as
Histograms and visualization.
|
StaticScalingFunction
Interface for Scaling functions that do NOT depend on analyzing the data set.
|
Class and Description |
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ScalingFunction
Interface for scaling functions used e.g. by outlier evaluation such as
Histograms and visualization.
|
Class and Description |
---|
ScalingFunction
Interface for scaling functions used e.g. by outlier evaluation such as
Histograms and visualization.
|