Uses of Class
de.lmu.ifi.dbs.elki.data.BitVector

Packages that use BitVector

de.lmu.ifi.dbs.elki.algorithm	Package to collect algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.result	Package to collect result classes for the results of algorithms.
de.lmu.ifi.dbs.elki.data	Package collects basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.
de.lmu.ifi.dbs.elki.parser	Package collects parser for different file formats and data types.

Uses of BitVector in de.lmu.ifi.dbs.elki.algorithm

Method parameters in de.lmu.ifi.dbs.elki.algorithm with type arguments of type BitVector

protected BitSet[]	APRIORI.frequentItemsets(BitSet[] candidates, Database<BitVector> database) Returns the frequent BitSets out of the given BitSets with respect to the given database.
protected void	APRIORI.runInTime(Database<BitVector> database)

Uses of BitVector in de.lmu.ifi.dbs.elki.algorithm.result

Method parameters in de.lmu.ifi.dbs.elki.algorithm.result with type arguments of type BitVector

void	AprioriResult.output(File out, Normalization<BitVector> normalization, List<AttributeSettings> settings) Prints the frequent itemsets annotating their reqpective frequency.
void	AprioriResult.output(PrintStream outStream, Normalization<BitVector> normalization, List<AttributeSettings> settings)

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.result with type arguments of type BitVector

AprioriResult(List<BitSet> solution, Map<BitSet,Integer> supports, Database<BitVector> database)
Provides a apriori result.

Uses of BitVector in de.lmu.ifi.dbs.elki.data

Methods in de.lmu.ifi.dbs.elki.data that return BitVector

BitVector	BitVector.multiplicate(double k) Returns a bit vector equal to this bit vector, if k is not 0, a bit vector with all components equal to zero otherwise.
BitVector	BitVector.negativeVector() Returns the inverse of the bit vector.
BitVector	BitVector.newInstance(Bit[] values)
BitVector	BitVector.nullVector() Returns a bit vector of equal dimensionality but containing 0 only.
BitVector	BitVector.plus(BitVector fv) Returns a bit vector corresponding to an XOR operation on this and the specified bit vector.
BitVector	BitVector.randomInstance(Bit min, Bit max, Random random) Returns the same as randomInstance(Random).
BitVector	BitVector.randomInstance(Random random)

Methods in de.lmu.ifi.dbs.elki.data with parameters of type BitVector

BitVector

BitVector.plus(BitVector fv) Returns a bit vector corresponding to an XOR operation on this and the specified bit vector.

Uses of BitVector in de.lmu.ifi.dbs.elki.distance.distancefunction

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction with parameters of type BitVector

DoubleDistance	SupportLengthDependentItemsetDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	SharedMaximumDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	SquareRootSupportLengthDependentItemsetDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	ReciprocalSupportDependentItemsetDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	SharedUnitedDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.
DoubleDistance	DirectSupportDependentItemsetDistanceFunction.distance(BitVector o1, BitVector o2) Returns a distance between two Bitvectors.

Method parameters in de.lmu.ifi.dbs.elki.distance.distancefunction with type arguments of type BitVector

void	FrequencyDependentItemsetDistanceFunction.setDatabase(Database<BitVector> database, boolean verbose, boolean time) Sets the database, initializes a new map of frequencies.

Uses of BitVector in de.lmu.ifi.dbs.elki.parser

Methods in de.lmu.ifi.dbs.elki.parser that return types with arguments of type BitVector

ParsingResult<BitVector>	BitVectorLabelParser.parse(InputStream in)
ParsingResult<BitVector>	SparseBitVectorLabelParser.parse(InputStream in)