A B C D E F G H I J K L M N O P R S T U W Y
All Classes All Packages

E

Eclat - Class in elki.itemsetmining

Eclat is a depth-first discovery algorithm for mining frequent itemsets.

Eclat(double, int, int) - Constructor for class elki.itemsetmining.Eclat

Constructor.

Eclat.Par - Class in elki.itemsetmining

Parameterization class.

elki.itemsetmining - package elki.itemsetmining

Algorithms for frequent itemset mining such as APRIORI.

elki.itemsetmining.associationrules - package elki.itemsetmining.associationrules

Association rule mining.

elki.itemsetmining.associationrules.interest - package elki.itemsetmining.associationrules.interest

Association rule interestingness measures.

elki.result - package elki.result

EMPTY_CHILDREN - Static variable in class elki.itemsetmining.FPGrowth.FPNode

Constant for leaf nodes.

ensureSize() - Method in class elki.itemsetmining.FPGrowth.FPNode

Ensure we have enough storage.

equals(Object) - Method in class elki.itemsetmining.DenseItemset

equals(Object) - Method in class elki.itemsetmining.Itemset

equals(Object) - Method in class elki.itemsetmining.OneItemset

equals(Object) - Method in class elki.itemsetmining.SmallDenseItemset

extract(int, int, int, boolean, FPGrowth.FPTree.Collector) - Method in class elki.itemsetmining.FPGrowth.FPTree

Extract itemsets ending in the given item.

extract(int, int, int, int, int[], int, int[], int[], boolean, FPGrowth.FPTree.Collector) - Method in class elki.itemsetmining.FPGrowth.FPTree

Extract itemsets ending in the given item.

extractItemsets(DBIDs[], int, int, List<Itemset>) - Method in class elki.itemsetmining.Eclat

extractItemsets(DBIDs, DBIDs[], int[], int, int, int, List<Itemset>) - Method in class elki.itemsetmining.Eclat

extractLinear(int, int, int, int, int[], int, int[], FPGrowth.FPTree.Collector) - Method in class elki.itemsetmining.FPGrowth.FPTree

Extract itemsets from a linear tree.

A B C D E F G H I J K L M N O P R S T U W Y
All Classes All Packages