Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
de.lmu.ifi.dbs.elki.algorithm.benchmark |
Benchmarking pseudo algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.classification |
Classification algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.optics |
OPTICS family of clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering |
Clustering based outlier detection.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.distance |
Distance-based outlier detection algorithms, such as DBOutlier and kNN.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel |
Parallel implementations of distance-based outlier detectors.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel |
Parallelized variants of LOF.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms
The algorithms in this package perform statistical analysis of the data
(e.g. compute distributions, distance distributions etc.)
|
tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
tutorial.outlier |
Modifier and Type | Class and Description |
---|---|
static class |
KNNDistancesSampler.Parameterizer<O>
Parameterization class.
|
static class |
KNNJoin.Parameterizer<V extends NumberVector,N extends SpatialNode<N,E>,E extends SpatialEntry>
Parameterization class.
|
static class |
MaterializeDistances.Parameterizer<O>
Parameterization class.
|
Modifier and Type | Class and Description |
---|---|
static class |
KNNBenchmarkAlgorithm.Parameterizer<O>
Parameterization class
|
static class |
RangeQueryBenchmarkAlgorithm.Parameterizer<O extends NumberVector>
Parameterization class
|
static class |
ValidateApproximativeKNNIndex.Parameterizer<O>
Parameterization class
|
Modifier and Type | Class and Description |
---|---|
static class |
KNNClassifier.Parameterizer<O>
Parameterization class
|
Modifier and Type | Class and Description |
---|---|
static class |
CanopyPreClustering.Parameterizer<O>
Parameterization class
|
static class |
DBSCAN.Parameterizer<O>
Parameterization class.
|
static class |
NaiveMeanShiftClustering.Parameterizer<V extends NumberVector>
Parameterizer.
|
Modifier and Type | Class and Description |
---|---|
static class |
LSDBC.Parameterizer<O extends NumberVector>
Parameterization class
|
Modifier and Type | Class and Description |
---|---|
static class |
AbstractHDBSCAN.Parameterizer<O>
Parameterization class
|
static class |
AGNES.Parameterizer<O>
Parameterization class
|
static class |
AnderbergHierarchicalClustering.Parameterizer<O>
Parameterization class
|
static class |
CLINK.Parameterizer<O>
Parameterization class.
|
static class |
HDBSCANLinearMemory.Parameterizer<O>
Parameterization class
|
static class |
SLINK.Parameterizer<O>
Parameterization class.
|
static class |
SLINKHDBSCANLinearMemory.Parameterizer<O>
Parameterization class
|
Modifier and Type | Class and Description |
---|---|
static class |
CLARA.Parameterizer<V>
Parameterization class.
|
static class |
KMedoidsEM.Parameterizer<V>
Parameterization class.
|
static class |
KMedoidsPAM.Parameterizer<V>
Parameterization class.
|
Modifier and Type | Class and Description |
---|---|
static class |
AbstractOPTICS.Parameterizer<O>
Parameterization class.
|
static class |
DeLiClu.Parameterizer<NV extends NumberVector>
Parameterization class.
|
static class |
OPTICSHeap.Parameterizer<O>
Parameterization class.
|
static class |
OPTICSList.Parameterizer<O>
Parameterization class.
|
Modifier and Type | Class and Description |
---|---|
static class |
COP.Parameterizer<V extends NumberVector>
Parameterization class.
|
static class |
DWOF.Parameterizer<O>
Parameterization class.
|
static class |
OPTICSOF.Parameterizer<O>
Parameterization class.
|
static class |
SimpleCOP.Parameterizer<V extends NumberVector>
Parameterization class.
|
Modifier and Type | Class and Description |
---|---|
static class |
SilhouetteOutlierDetection.Parameterizer<O>
Parameterizer.
|
Modifier and Type | Class and Description |
---|---|
static class |
AbstractDBOutlier.Parameterizer<O>
Parameterization class.
|
static class |
DBOutlierDetection.Parameterizer<O>
Parameterization class.
|
static class |
DBOutlierScore.Parameterizer<O>
Parameterization class.
|
static class |
KNNOutlier.Parameterizer<O>
Parameterization class.
|
static class |
KNNWeightOutlier.Parameterizer<O>
Parameterization class.
|
Modifier and Type | Class and Description |
---|---|
static class |
ParallelKNNOutlier.Parameterizer<O>
Parameterization class
|
static class |
ParallelKNNWeightOutlier.Parameterizer<O>
Parameterization class
|
Modifier and Type | Class and Description |
---|---|
static class |
COF.Parameterizer<O>
Parameterization class.
|
static class |
FlexibleLOF.Parameterizer<O>
Parameterization class.
|
static class |
INFLO.Parameterizer<O>
Parameterization class.
|
static class |
KDEOS.Parameterizer<O>
Parameterization class
|
static class |
LDF.Parameterizer<O extends NumberVector>
Parameterization class.
|
static class |
LDOF.Parameterizer<O>
Parameterization class.
|
static class |
LOCI.Parameterizer<O>
Parameterization class.
|
static class |
LOF.Parameterizer<O>
Parameterization class.
|
static class |
OnlineLOF.Parameterizer<O>
Parameterization class.
|
static class |
SimpleKernelDensityLOF.Parameterizer<O extends NumberVector>
Parameterization class.
|
static class |
SimplifiedLOF.Parameterizer<O>
Parameterization class.
|
Modifier and Type | Class and Description |
---|---|
static class |
ParallelLOF.Parameterizer<O>
Parameterization class
|
static class |
ParallelSimplifiedLOF.Parameterizer<O>
Parameterization class
|
Modifier and Type | Class and Description |
---|---|
static class |
CTLuGLSBackwardSearchAlgorithm.Parameterizer<V extends NumberVector>
Parameterization class
|
static class |
CTLuRandomWalkEC.Parameterizer<N>
Parameterization class.
|
Modifier and Type | Class and Description |
---|---|
static class |
AveragePrecisionAtK.Parameterizer<O>
Parameterization class.
|
static class |
DistanceStatisticsWithClasses.Parameterizer<O>
Parameterization class.
|
static class |
EstimateIntrinsicDimensionality.Parameterizer<O>
Parameterization class.
|
static class |
EvaluateRankingQuality.Parameterizer<V extends NumberVector>
Parameterization class.
|
static class |
EvaluateRetrievalPerformance.Parameterizer<O>
Parameterization class.
|
static class |
RankingQualityHistogram.Parameterizer<O>
Parameterization class.
|
Modifier and Type | Class and Description |
---|---|
static class |
NaiveAgglomerativeHierarchicalClustering1.Parameterizer<O>
Parameterization class
|
static class |
NaiveAgglomerativeHierarchicalClustering2.Parameterizer<O>
Parameterization class
|
static class |
NaiveAgglomerativeHierarchicalClustering3.Parameterizer<O>
Parameterization class
|
static class |
NaiveAgglomerativeHierarchicalClustering4.Parameterizer<O>
Parameterization class
|
Modifier and Type | Class and Description |
---|---|
static class |
DistanceStddevOutlier.Parameterizer<O>
Parameterization class
|
static class |
ODIN.Parameterizer<O>
Parameterization class.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.