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DependencyDerivator.SAMPLE_SIZE_PARAM
DependencyDerivator.SAMPLE_SIZE_PARAM
.
-h
DistanceStatisticsWithClasses.SAMPLING_FLAG
ProjectionParser.SELECTED_ATTRIBUTES_PARAM
.
j
th column of this matrix to the specified
column.
AbstractMeasurementFunction(database, verbose, time)
and
runs the preprocessor on the database.
AbstractMeasurementFunction(database, verbose, time)
and
runs the preprocessor on the database.
AbstractAlgorithm.VERBOSE_FLAG
and AbstractAlgorithm.TIME_FLAG
.
APRIORI.MINFREQ_PARAM
and APRIORI.MINSUPP_PARAM
.
CASH.MINPTS_PARAM
, CASH.MAXLEVEL_PARAM
, CASH.MINDIM_PARAM
, CASH.JITTER_PARAM
,
and the flag CASH.ADJUST_FLAG
.
COPAC.partitionAlgorithm
according to the value of parameter
COPAC.PARTITION_ALGORITHM_PARAM
,
COPAC.partitionDatabase
according to the value of parameter COPAC.PARTITION_DB_PARAM
(if specified),
and COPAC.preprocessor
according to the value of parameter COPAC.PREPROCESSOR_PARAM
.
ERiC.copacAlgorithm
.
ORCLUS.ALPHA_PARAM
.
DBSCAN.EPSILON_PARAM
and DBSCAN.MINPTS_PARAM
.
EM.K_PARAM
and EM.DELTA_PARAM
.
KMeans.K_PARAM
.
OPTICS.EPSILON_PARAM
and OPTICS.MINPTS_PARAM
.
ProjectedDBSCAN.distanceFunction
according to the value of parameter
ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM
and sets additionally the values of the parameters
ProjectedDBSCAN.EPSILON_PARAM
ProjectedDBSCAN.MINPTS_PARAM
, and ProjectedDBSCAN.LAMBDA_PARAM
.
SNNClustering.EPSILON_PARAM
and SNNClustering.MINPTS_PARAM
.
CLIQUE.XSI_PARAM
, CLIQUE.TAU_PARAM
, and {flag @link #PRUNE_FLAG}.
DiSH.EPSILON_PARAM
and DiSH.MU_PARAM
.
PROCLUS.M_I_PARAM
.
ProjectedClustering.K_PARAM
, ProjectedClustering.K_I_PARAM
, and ProjectedClustering.L_PARAM
.
DependencyDerivator.OUTPUT_ACCURACY_PARAM
and DependencyDerivator.SAMPLE_SIZE_PARAM
.
DistanceBasedAlgorithm.distanceFunction
according to the value of parameter
DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM
.
KNNDistanceOrder.K_PARAM
and KNNDistanceOrder.PERCENTAGE_PARAM
.
ABOD.FAST_FLAG
,
ABOD.FAST_SAMPLE_PARAM
and ABOD.KERNEL_FUNCTION_PARAM
.
LOCI.RMAX_PARAM
, LOCI.NMIN_PARAM
and LOCI.ALPHA_PARAM
LOF.K_PARAM
and instantiates LOF.reachabilityDistanceFunction
according to the value of parameter
LOF.REACHABILITY_DISTANCE_FUNCTION_PARAM
.
SOD.KNN_PARAM
and SOD.ALPHA_PARAM
.
StandAloneApplication.OUTPUT_PARAM
.
StandAloneInputApplication.INPUT_PARAM
.
AbstractDatabaseConnection.CLASS_LABEL_INDEX_PARAM
, AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM
, and
AbstractDatabaseConnection.EXTERNAL_ID_INDEX_PARAM
and instantiates AbstractDatabaseConnection.database
according to the value of parameter AbstractDatabaseConnection.DATABASE_PARAM
.
FileBasedDatabaseConnection.INPUT_PARAM
.
InputStreamDatabaseConnection.parser
according to the value of parameter
InputStreamDatabaseConnection.PARSER_PARAM
.
MultipleFileBasedDatabaseConnection.inputStreams
according to
the value of parameter MultipleFileBasedDatabaseConnection.INPUT_PARAM
and MultipleFileBasedDatabaseConnection.parsers
according
to the value of parameter MultipleFileBasedDatabaseConnection.PARSERS_PARAM
.
AbstractParameterizable#setParameters
and passes the remaining
parameters to the AbstractLocallyWeightedDistanceFunction.preprocessorHandler
.
AbstractParameterizable#setParameters
and passes the remaining parameters to the AbstractPreprocessorBasedDistanceFunction.preprocessorHandler
.
AbstractPreferenceVectorBasedCorrelationDistanceFunction.EPSILON_PARAM
.
ERiCDistanceFunction.DELTA_PARAM
and {#TAU_PARAM}.
PCABasedCorrelationDistanceFunction.DELTA_PARAM
.
AbstractPreprocessorBasedSimilarityFunction.preprocessorHandler
.
TreeIndex#setParameters
and instantiates AbstractMTree.distanceFunction
according to the value of parameter
AbstractMTree.DISTANCE_FUNCTION_PARAM
.
AbstractMkTree.K_MAX_PARAM
.
TreeIndex.FILE_PARAM
,
TreeIndex.PAGE_SIZE_PARAM
.
CompositeEigenPairFilter.filters
according to the
value of parameter CompositeEigenPairFilter.FILTERS_PARAM
.
FirstNEigenPairFilter.N_PARAM
.
LimitEigenPairFilter.ABSOLUTE_FLAG
and the parameter LimitEigenPairFilter.DELTA_PARAM
.
RandomProjectionParser.NUMBER_SELECTED_ATTRIBUTES_PARAM
.
MaterializeKNNPreprocessor.K_PARAM
and
MaterializeKNNPreprocessor.DISTANCE_FUNCTION_PARAM
to MaterializeKNNPreprocessor.k
and
MaterializeKNNPreprocessor.distanceFunction
, respectively.
AbstractParameterizable#setParameters
and sets additionally the
value of flag PreprocessorHandler.OMIT_PREPROCESSING_FLAG
and instantiates
PreprocessorHandler.preprocessor
according to the value of parameter
PreprocessorHandler.PREPROCESSOR_PARAM
The remaining parameters are passed to the
PreprocessorHandler.preprocessor
.
SharedNearestNeighborsPreprocessor.NUMBER_OF_NEIGHBORS_PARAM
and SharedNearestNeighborsPreprocessor.DISTANCE_FUNCTION_PARAM
to SharedNearestNeighborsPreprocessor.numberOfNeighbors
and
SharedNearestNeighborsPreprocessor.distanceFunction
, respectively.
ProjectionParser.SELECTED_ATTRIBUTES_PARAM
.
GeneratorMain.testAgainstModel
flag
CSSClassManager
this.doubleValue()
.
SimilarityAdapterAbstract.SIMILARITY_FUNCTION_PARAM
arccos(sim)
.1 - sim
.-log(sim)
.MkTreeHeader.k_max
).
TreeIndexHeader.size()
plus the value of MkTreeHeader.SIZE
).
RdKNNTreeHeader.k_max
).
TreeIndexHeader.size()
plus
the value of RdKNNTreeHeader.SIZE
).
TreeIndexHeader.dirCapacity
, TreeIndexHeader.leafCapacity
, TreeIndexHeader.dirMinimum
, and
TreeIndexHeader.leafMinimum
).
DefaultPageHeader.size()
plus the value of TreeIndexHeader.SIZE
).
DefaultPageHeader.FILE_VERSION
and 4 Bytes for DefaultPageHeader.pageSize
).
DefaultPageHeader.SIZE
).
GeneratorXMLSpec.SIZE_SCALE_PARAM
PCAFilteredRunner.SMALL_PARAM
.
PCAFilteredRunner.SMALL_PARAM
SNNClustering.EPSILON_PARAM
and SNNClustering.MINPTS_PARAM
to the option handler
additionally to parameters of super class.
SOD.KNN_PARAM
and SOD.ALPHA_PARAM
to the option handler additionally to parameters of super class.
StandAloneApplication.OUTPUT_PARAM
to the option handler additionally to
parameters of super class.
StandAloneInputApplication.INPUT_PARAM
to the option handler additionally to
parameters of super class.
AttributeWiseVarianceNormalization.STDDEV_PARAM
DiSHPreprocessor.STRATEGY_PARAM
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