Uses of Class
de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset

Packages that use Itemset

Package	Description
de.lmu.ifi.dbs.elki.algorithm.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling

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

Subclasses of Itemset in de.lmu.ifi.dbs.elki.algorithm.itemsetmining

Modifier and Type	Class and Description
class	DenseItemset APRIORI itemset.
class	OneItemset APRIORI itemset.
class	SmallDenseItemset APRIORI itemset.
class	SparseItemset APRIORI itemset.

Methods in de.lmu.ifi.dbs.elki.algorithm.itemsetmining that return types with arguments of type Itemset

Modifier and Type	Method and Description
protected List<Itemset>	APRIORI.aprioriGenerate(List<? extends Itemset> supported, int length, int dim) Prunes a given set of candidates to keep only those BitSets where all subsets of bits flipping one bit are frequent already.
protected List<? extends Itemset>	APRIORI.frequentItemsets(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.

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

Modifier and Type	Method and Description
int	DenseItemset.compareTo(Itemset o)
int	OneItemset.compareTo(Itemset o)
int	SmallDenseItemset.compareTo(Itemset o)
int	SparseItemset.compareTo(Itemset o)

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

Modifier and Type	Method and Description
protected List<Itemset>	APRIORI.aprioriGenerate(List<? extends Itemset> supported, int length, int dim) Prunes a given set of candidates to keep only those BitSets where all subsets of bits flipping one bit are frequent already.
private StringBuilder	APRIORI.debugDumpCandidates(StringBuilder msg, List<? extends Itemset> candidates, VectorFieldTypeInformation<BitVector> meta) Debug method: output all itemsets.
private void	Eclat.extractItemsets(DBIDs[] idx, int start, int minsupp, List<Itemset> solution)
private void	Eclat.extractItemsets(DBIDs iset, DBIDs[] idx, int[] buf, int depth, int start, int minsupp, List<Itemset> solution)
protected List<? extends Itemset>	APRIORI.frequentItemsets(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.

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

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

Modifier and Type	Field and Description
private List<Itemset>	FrequentItemsetsResult.itemsets The supports of all frequent itemsets.

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

Modifier and Type	Method and Description
List<Itemset>	FrequentItemsetsResult.getItemsets() Returns the frequent item sets.

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

Constructor and Description
FrequentItemsetsResult(String name, String shortname, List<Itemset> itemsets, VectorFieldTypeInformation<BitVector> meta) Constructor.