Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased |
Angle-based outlier detection algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering |
Clustering based outlier detection.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic |
Outlier detection algorithms based on intrinsic dimensionality.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms.
|
de.lmu.ifi.dbs.elki.math |
Mathematical operations and utilities used throughout the framework
|
de.lmu.ifi.dbs.elki.math.geometry |
Algorithms from computational geometry
|
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator |
Estimators for statistical distributions.
|
de.lmu.ifi.dbs.elki.parallel.processor |
Processor API of ELKI, and some essential shared processors.
|
de.lmu.ifi.dbs.elki.utilities.scaling |
Scaling functions: linear, logarithmic, gamma, clipping, ...
|
Modifier and Type | Method and Description |
---|---|
private void |
FastABOD.fastABOD(Database db,
Relation<V> relation,
DBIDs ids,
WritableDoubleDataStore abodvalues,
DoubleMinMax minmaxabod)
Full kernel-based version.
|
private boolean |
FastABOD.kNNABOD(Database db,
Relation<V> relation,
DBIDs ids,
WritableDoubleDataStore abodvalues,
DoubleMinMax minmaxabod)
Simpler kNN based, can use more indexing.
|
Modifier and Type | Method and Description |
---|---|
private void |
CBLOF.computeCBLOFs(Relation<O> relation,
NumberVectorDistanceFunction<? super O> distance,
WritableDoubleDataStore cblofs,
DoubleMinMax cblofMinMax,
java.util.List<? extends Cluster<MeanModel>> largeClusters,
java.util.List<? extends Cluster<MeanModel>> smallClusters)
Compute the CBLOF scores for all the data.
|
private void |
CBLOF.storeCBLOFScore(WritableDoubleDataStore cblofs,
DoubleMinMax cblofMinMax,
double cblof,
DBIDIter iter) |
Modifier and Type | Method and Description |
---|---|
static DoubleMinMax |
ISOS.transformScores(WritableDoubleDataStore scores,
DBIDs ids,
double logPerp,
double phi)
Transform scores
|
Modifier and Type | Method and Description |
---|---|
protected DoubleDataStore |
IDOS.computeIDOS(DBIDs ids,
KNNQuery<O> knnQ,
DoubleDataStore intDims,
DoubleMinMax idosminmax)
Computes all IDOS scores.
|
Modifier and Type | Method and Description |
---|---|
private void |
COF.computeCOFScores(KNNQuery<O> knnq,
DBIDs ids,
DoubleDataStore acds,
WritableDoubleDataStore cofs,
DoubleMinMax cofminmax)
Compute Connectivity outlier factors.
|
protected void |
INFLO.computeINFLO(Relation<O> relation,
ModifiableDBIDs pruned,
KNNQuery<O> knnq,
WritableDataStore<ModifiableDBIDs> rNNminuskNNs,
WritableDoubleDataStore inflos,
DoubleMinMax inflominmax)
Compute the final INFLO scores.
|
protected void |
FlexibleLOF.computeLOFs(KNNQuery<O> knnq,
DBIDs ids,
DoubleDataStore lrds,
WritableDoubleDataStore lofs,
DoubleMinMax lofminmax)
Computes the Local outlier factor (LOF) of the specified objects.
|
private void |
LOF.computeLOFScores(KNNQuery<O> knnq,
DBIDs ids,
DoubleDataStore lrds,
WritableDoubleDataStore lofs,
DoubleMinMax lofminmax)
Compute local outlier factors.
|
protected void |
KDEOS.computeOutlierScores(KNNQuery<O> knnq,
DBIDs ids,
WritableDataStore<double[]> densities,
WritableDoubleDataStore kdeos,
DoubleMinMax minmax)
Compute the final KDEOS scores.
|
private void |
SimplifiedLOF.computeSimplifiedLOFs(DBIDs ids,
KNNQuery<O> knnq,
WritableDoubleDataStore slrds,
WritableDoubleDataStore lofs,
DoubleMinMax lofminmax)
Compute the simplified LOF factors.
|
private void |
VarianceOfVolume.computeVOVs(KNNQuery<O> knnq,
DBIDs ids,
DoubleDataStore vols,
WritableDoubleDataStore vovs,
DoubleMinMax vovminmax)
Compute variance of volumes.
|
Modifier and Type | Method and Description |
---|---|
private DoubleMinMax |
DistanceStatisticsWithClasses.exactMinMax(Relation<O> relation,
DistanceQuery<O> distFunc)
Compute the exact maximum and minimum.
|
private DoubleMinMax |
DistanceStatisticsWithClasses.sampleMinMax(Relation<O> relation,
DistanceQuery<O> distFunc)
Estimate minimum and maximum via sampling.
|
Modifier and Type | Method and Description |
---|---|
DoubleMinMax |
MeanVarianceMinMax.getDoubleMinMax()
Get the current minimum and maximum.
|
static DoubleMinMax[] |
DoubleMinMax.newArray(int size)
Generate a new array of initialized DoubleMinMax objects (with default
constructor)
|
Modifier and Type | Method and Description |
---|---|
void |
DoubleMinMax.put(DoubleMinMax val)
Process a MinMax pair.
|
Modifier and Type | Field and Description |
---|---|
private DoubleMinMax |
GrahamScanConvexHull2D.minmaxX
Min/Max in X
|
private DoubleMinMax |
GrahamScanConvexHull2D.minmaxY
Min/Max in Y
|
Modifier and Type | Method and Description |
---|---|
UniformDistribution |
UniformMinMaxEstimator.estimate(DoubleMinMax mm)
Estimate parameters from minimum and maximum observed.
|
Modifier and Type | Field and Description |
---|---|
(package private) DoubleMinMax |
DoubleMinMaxProcessor.minmax
The central data store.
|
private DoubleMinMax |
DoubleMinMaxProcessor.Instance.minmax
The central data store.
|
Modifier and Type | Method and Description |
---|---|
DoubleMinMax |
DoubleMinMaxProcessor.getMinMax()
Get the minmax object.
|
Modifier and Type | Method and Description |
---|---|
protected void |
DoubleMinMaxProcessor.merge(DoubleMinMax minmax)
Merge the result of an instance.
|
Constructor and Description |
---|
LinearScaling(DoubleMinMax minmax)
Constructor from a double minmax.
|
Copyright © 2019 ELKI Development Team. License information.