| Modifier and Type | Class and Description |
|---|---|
class |
CentroidLinkageMethod
Centroid linkage clustering method, aka UPGMC: Unweighted Pair-Group Method
using Centroids.
|
class |
CompleteLinkageMethod
Complete-linkage clustering method.
|
class |
GroupAverageLinkageMethod
Group-average linkage clustering method.
|
class |
MedianLinkageMethod
Median-linkage clustering method: Weighted pair group method using centroids
(WPGMC).
|
class |
SingleLinkageMethod
Single-linkage clustering method.
|
class |
SLINK<O,D extends Distance<D>>
Implementation of the efficient Single-Link Algorithm SLINK of R.
|
class |
WardLinkageMethod
Ward's method clustering method.
|
class |
WeightedAverageLinkageMethod
Weighted average linkage clustering method.
|
| Modifier and Type | Class and Description |
|---|---|
class |
LDOF<O,D extends NumberDistance<D,?>>
Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a
Database.
|
class |
LOCI<O,D extends NumberDistance<D,?>>
Fast Outlier Detection Using the "Local Correlation Integral".
|
class |
LOF<O,D extends NumberDistance<D,?>>
Algorithm to compute density-based local outlier factors in a database based
on a specified parameter
LOF.Parameterizer.K_ID (-lof.k). |
class |
LoOP<O,D extends NumberDistance<D,?>>
LoOP: Local Outlier Probabilities
Distance/density based algorithm similar to LOF to detect outliers, but with
statistical methods to achieve better result stability.
|
class |
SimplifiedLOF<O,D extends NumberDistance<D,?>>
A simplified version of the original LOF algorithm, which does not use the
reachability distance, yielding less stable results on inliers.
|
| Modifier and Type | Class and Description |
|---|---|
class |
KDDCLIApplication
Provides a KDDCLIApplication that can be used to perform any algorithm
implementing
Algorithm using any DatabaseConnection
implementing DatabaseConnection. |
| Modifier and Type | Class and Description |
|---|---|
class |
ClassicMultidimensionalScalingTransform<O>
Rescale the data set using multidimensional scaling, MDS.
|
class |
GlobalPrincipalComponentAnalysisTransform<O extends NumberVector<?>>
Apply principal component analysis to the data set.
|
class |
LinearDiscriminantAnalysisFilter<V extends NumberVector<?>>
Linear Discriminant Analysis (LDA) / Fisher's linear discriminant.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ArcCosineDistanceFunction
Cosine distance function for feature vectors.
|
class |
BrayCurtisDistanceFunction
Bray-Curtis distance function / Sørensen–Dice coefficient for continuous
spaces.
|
class |
CanberraDistanceFunction
Canberra distance function, a variation of Manhattan distance.
|
class |
CosineDistanceFunction
Cosine distance function for feature vectors.
|
| Modifier and Type | Class and Description |
|---|---|
class |
EuclideanDistanceFunction
Provides the Euclidean distance for FeatureVectors.
|
class |
LPNormDistanceFunction
Provides a LP-Norm for FeatureVectors.
|
class |
ManhattanDistanceFunction
Manhattan distance function to compute the Manhattan distance for a pair of
FeatureVectors.
|
class |
MaximumDistanceFunction
Maximum distance function to compute the Maximum distance for a pair of
FeatureVectors.
|
class |
MinimumDistanceFunction
Maximum distance function to compute the Minimum distance for a pair of
FeatureVectors.
|
class |
SquaredEuclideanDistanceFunction
Provides the squared Euclidean distance for FeatureVectors.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ChiSquaredDistanceFunction
Chi-Squared distance function, symmetric version.
|
class |
KullbackLeiblerDivergenceAsymmetricDistanceFunction
Kullback-Leibler (asymmetric!)
|
class |
KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction
Kullback-Leibler (asymmetric!)
|
| Modifier and Type | Class and Description |
|---|---|
class |
RadialBasisFunctionKernelFunction
Provides the Gaussian radial basis function kernel (RBF Kernel).
|
| Modifier and Type | Class and Description |
|---|---|
class |
OutlierROCCurve
Compute a ROC curve to evaluate a ranking algorithm and compute the
corresponding ROCAUC value.
|
| Modifier and Type | Class and Description |
|---|---|
class |
MiniGUI
Minimal GUI built around a table-based parameter editor.
|
| Modifier and Type | Class and Description |
|---|---|
class |
MultiStepGUI
Experimenter-style multi step GUI.
|
| Modifier and Type | Class and Description |
|---|---|
class |
MTreeFactory<O,D extends NumberDistance<D,?>>
Factory for a M-Tree
|
| Modifier and Type | Class and Description |
|---|---|
static class |
MinimalisticMemoryKDTree.Factory<O extends NumberVector<?>>
Factory class
|
| Modifier and Type | Class and Description |
|---|---|
class |
RStarTreeFactory<O extends NumberVector<?>>
Factory for regular R*-Trees.
|
| Modifier and Type | Class and Description |
|---|---|
class |
SortTileRecursiveBulkSplit
Sort-Tile-Recursive aims at tiling the data space with a grid-like structure
for partitioning the dataset into the required number of buckets.
|
| Modifier and Type | Class and Description |
|---|---|
class |
Clarke1858SpheroidEarthModel
The Clarke 1858 spheroid earth model.
|
class |
Clarke1880SpheroidEarthModel
The Clarke 1880 spheroid earth model.
|
class |
GRS67SpheroidEarthModel
The GRS 67 spheroid earth model.
|
class |
GRS80SpheroidEarthModel
The GRS 80 spheroid earth model, without height model (so not a geoid, just a
spheroid!)
|
class |
WGS72SpheroidEarthModel
The WGS72 spheroid earth model, without height model.
|
class |
WGS84SpheroidEarthModel
The WGS84 spheroid earth model, without height model (so not a geoid, just a
spheroid!)
|
| Modifier and Type | Class and Description |
|---|---|
class |
ExponentiallyModifiedGaussianDistribution
Exponentially modified Gaussian (EMG) distribution (ExGaussian distribution)
is a combination of a normal distribution and an exponential distribution.
|
class |
LaplaceDistribution
Laplace distribution also known as double exponential distribution
|
class |
LogisticDistribution
Logistic distribution.
|
class |
LogLogisticDistribution
Log-Logistic distribution also known as Fisk distribution.
|
class |
LogNormalDistribution
Log-Normal distribution.
|
class |
NormalDistribution
Gaussian distribution aka normal distribution
|
class |
WaldDistribution
Inverse Gaussian distribution aka Wald distribution
|
| Modifier and Type | Class and Description |
|---|---|
class |
BiweightKernelDensityFunction
Biweight (Quartic) kernel density estimator.
|
class |
EpanechnikovKernelDensityFunction
Epanechnikov kernel density estimator.
|
class |
TriweightKernelDensityFunction
Triweight kernel density estimator.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ResultVisualizer
Handler to process and visualize a Result.
|