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

Packages that use BitVector

Package	Description
de.lmu.ifi.dbs.elki.algorithm.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.
de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules	Association rule mining.
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions
de.lmu.ifi.dbs.elki.datasource.parser	Parsers for different file formats and data types The general use-case for any parser is to create objects out of an InputStream (e.g. by reading a data file).
de.lmu.ifi.dbs.elki.result	Result types, representation and handling

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

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

Modifier and Type	Method and Description
private boolean	APRIORI.initializeSearchItemset(BitVector bv, int[] scratchi, int[] iters) Initialize the scratch itemset.
private boolean	APRIORI.nextSearchItemset(BitVector bv, int[] scratchi, int[] iters) Advance scratch itemset to the next.

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

Modifier and Type	Method and Description
java.lang.StringBuilder	Itemset.appendItemsTo(java.lang.StringBuilder buf, VectorFieldTypeInformation<BitVector> meta) Only append the items to a string buffer.
java.lang.StringBuilder	OneItemset.appendItemsTo(java.lang.StringBuilder buf, VectorFieldTypeInformation<BitVector> meta)
java.lang.StringBuilder	DenseItemset.appendItemsTo(java.lang.StringBuilder buf, VectorFieldTypeInformation<BitVector> meta)
java.lang.StringBuilder	SmallDenseItemset.appendItemsTo(java.lang.StringBuilder buf, VectorFieldTypeInformation<BitVector> meta)
java.lang.StringBuilder	Itemset.appendTo(java.lang.StringBuilder buf, VectorFieldTypeInformation<BitVector> meta) Append items and support to a string buffer.
private FPGrowth.FPTree	FPGrowth.buildFPTree(Relation<BitVector> relation, int[] iidx, int items) Build the actual FP-tree structure.
protected java.util.List<SparseItemset>	APRIORI.buildFrequentTwoItemsets(java.util.List<OneItemset> oneitems, Relation<BitVector> relation, int dim, int needed, DBIDs ids, ArrayModifiableDBIDs survivors) Build the 2-itemsets.
private DBIDs[]	Eclat.buildIndex(Relation<BitVector> relation, int dim, int minsupp)
private int[]	FPGrowth.countItemSupport(Relation<BitVector> relation, int dim) Count the support of each 1-item.
private java.lang.StringBuilder	APRIORI.debugDumpCandidates(java.lang.StringBuilder msg, java.util.List<? extends Itemset> candidates, VectorFieldTypeInformation<BitVector> meta) Debug method: output all itemsets.
protected java.util.List<? extends Itemset>	APRIORI.frequentItemsets(java.util.List<? extends Itemset> candidates, Relation<BitVector> relation, int needed, DBIDs ids, ArrayModifiableDBIDs survivors, int length) Returns the frequent BitSets out of the given BitSets with respect to the given database.
protected java.util.List<SparseItemset>	APRIORI.frequentItemsetsSparse(java.util.List<SparseItemset> candidates, Relation<BitVector> relation, int needed, DBIDs ids, ArrayModifiableDBIDs survivors, int length) Returns the frequent BitSets out of the given BitSets with respect to the given database.
FrequentItemsetsResult	Eclat.run(Database db, Relation<BitVector> relation) Run the Eclat algorithm
FrequentItemsetsResult	FPGrowth.run(Database db, Relation<BitVector> relation) Run the FP-Growth algorithm
FrequentItemsetsResult	APRIORI.run(Relation<BitVector> relation) Performs the APRIORI algorithm on the given database.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules with type parameters of type BitVector

Modifier and Type	Field and Description
private VectorFieldTypeInformation<BitVector>	AssociationRuleGeneration.Instance.meta Metadata for printing.

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

Modifier and Type	Method and Description
java.lang.StringBuilder	AssociationRule.appendTo(java.lang.StringBuilder buf, VectorFieldTypeInformation<BitVector> meta) Append to a string buffer.

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

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

Modifier and Type	Field and Description
static ByteBufferSerializer<BitVector>	BitVector.SHORT_SERIALIZER Serializer for up to 2^15-1 dimensions.

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

Modifier and Type	Method and Description
BitVector	BitVector.ShortSerializer.fromByteBuffer(java.nio.ByteBuffer buffer)
<A> BitVector	BitVector.Factory.newFeatureVector(A array, ArrayAdapter<? extends java.lang.Number,A> adapter)
<A> BitVector	BitVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
BitVector	BitVector.Factory.newNumberVector(it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap values, int maxdim)

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

Modifier and Type	Method and Description
ByteBufferSerializer<BitVector>	BitVector.Factory.getDefaultSerializer()
java.lang.Class<? super BitVector>	BitVector.Factory.getRestrictionClass()

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

Modifier and Type	Method and Description
int	BitVector.ShortSerializer.getByteSize(BitVector vec)
int	BitVector.hammingDistance(BitVector v2) Compute the Hamming distance of two bit vectors.
boolean	BitVector.intersect(BitVector v2) Compute whether two vectors intersect.
int	BitVector.intersectionSize(BitVector v2) Compute the vector intersection size.
double	BitVector.jaccardSimilarity(BitVector v2) Compute the Jaccard similarity of two bit vectors.
void	BitVector.ShortSerializer.toByteBuffer(java.nio.ByteBuffer buffer, BitVector vec)
int	BitVector.unionSize(BitVector v2) Compute the vector union size.

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

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

Modifier and Type	Field and Description
static VectorTypeInformation<BitVector>	TypeUtil.BIT_VECTOR Input type for algorithms that require bit vectors.
static VectorFieldTypeInformation<BitVector>	TypeUtil.BIT_VECTOR_FIELD Input type for algorithms that require bit vector fields.

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

Fields in de.lmu.ifi.dbs.elki.datasource.parser declared as BitVector

Modifier and Type	Field and Description
(package private) BitVector	SimpleTransactionParser.curvec Current vector.

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

Fields in de.lmu.ifi.dbs.elki.result with type parameters of type BitVector

Modifier and Type	Field and Description
private VectorFieldTypeInformation<BitVector>	AssociationRuleResult.meta Metadata of the data relation, for item labels.
private VectorFieldTypeInformation<BitVector>	FrequentItemsetsResult.meta Metadata of the data relation, for item labels.

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

Modifier and Type	Method and Description
VectorFieldTypeInformation<BitVector>	AssociationRuleResult.getMeta() Returns Metadata of the data relation, for item labels.
VectorFieldTypeInformation<BitVector>	FrequentItemsetsResult.getMeta() Get the metadata used for serialization.

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

Constructor and Description
AssociationRuleResult(java.lang.String name, java.lang.String shortname, java.util.List<AssociationRule> rules, VectorFieldTypeInformation<BitVector> meta) Constructor.
FrequentItemsetsResult(java.lang.String name, java.lang.String shortname, java.util.List<Itemset> itemsets, VectorFieldTypeInformation<BitVector> meta, int total) Constructor.