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AbstractDatabaseConnection.DATABASE_PARAM
.
KDDTask.DATABASE_CONNECTION_PARAM
DatabaseConnection
.
DatabaseConnection
.
DatabaseConnection
.
DatabaseConnection
.
AbstractDatabaseConnection.DATABASE_PARAM
Database
.
DBSCAN.EPSILON_PARAM
and
DBSCAN.MINPTS_PARAM
to the option handler
additionally to parameters of super class.
KDDTask
is the main class of the ELKI-Framework
for command-line interaction.KDDTask
main routine.Algorithm
-Interface.CASH
algorithm.CLIQUE
algorithm.distance functions
and similarity functions
.MkAppTree
MkCoPTree
MkMaxTree
MkTabTree
MTree
DeLiCluTree
RdKNNTree
RStarTree
Gaussian distribution
to given data.WeightedCovarianceMatrixBuilder
PolynomialKernelFunction.DEGREE_PARAM
DeLiClu.MINPTS_PARAM
to the option handler additionally to parameters of super class.
EM.DELTA_PARAM
.
ERiCDistanceFunction.DELTA_PARAM
.
PCABasedCorrelationDistanceFunction.DELTA_PARAM
.
EM.DELTA_PARAM
ERiCDistanceFunction.DELTA_PARAM
PCABasedCorrelationDistanceFunction.DELTA_PARAM
EDRDistanceFunction.DELTA_PARAM
PreDeConPreprocessor.DELTA_PARAM
DependencyDerivator.RANDOM_SAMPLE_FLAG
DependencyDerivator.OUTPUT_ACCURACY_PARAM
,
DependencyDerivator.SAMPLE_SIZE_PARAM
, and flag
DependencyDerivator.RANDOM_SAMPLE_FLAG
to the option handler additionally to parameters of super class.
AbstractApplication.DESCRIPTION_PARAM
Parameterizable
.
DimensionSelectingDistanceFunction.DIM_PARAM
O
extends FeatureVector
.
AbstractDimensionsSelectingDoubleDistanceFunction.DIMS_PARAM
DiSH.EPSILON_PARAM
and DiSH.MU_PARAM
to the option handler additionally to parameters of super class.
correlationDistance(v1, v2)
.
ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM
DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM
KNNExplorer.DISTANCE_FUNCTION_PARAM
AbstractMTree.DISTANCE_FUNCTION_PARAM
RdKNNTree.DISTANCE_FUNCTION_PARAM
NumberDistanceParser.DISTANCE_FUNCTION_PARAM
MaterializeKNNPreprocessor.DISTANCE_FUNCTION_PARAM
ProjectedDBSCANPreprocessor.DISTANCE_FUNCTION_PARAM
SharedNearestNeighborsPreprocessor.DISTANCE_FUNCTION_PARAM
AbstractLocallyWeightedDistanceFunction
.
DistanceFunction
.
DistanceFunction
.
DistanceFunction
.
RepresentationSelectingDistanceFunction.DISTANCE_FUNCTIONS_PARAM
CacheDoubleDistanceInOnDiskMatrix.DISTANCE_PARAM
CacheFloatDistanceInOnDiskMatrix.DISTANCE_PARAM
DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM
to the option handler additionally to parameters of super class.
ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM
.
DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM
.
KNNExplorer.DISTANCE_FUNCTION_PARAM
.
KNNExplorer.DISTANCE_FUNCTION_PARAM
.
AbstractMTree.DISTANCE_FUNCTION_PARAM
.
PatternParameter
)
holds a valid pattern for a specific distance function (DistanceFunction
).distFunction
Parameterizable
interface.AbstractMkTree.k_max
.
intValue()
.
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