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C

CertaintyFactor - Class in elki.itemsetmining.associationrules.interest

Certainty factor (CF; Loevinger) interestingness measure. \( \tfrac{\text{confidence}(X \rightarrow Y) - \text{support}(Y)}{\text{support}(\neg Y)} \).

CertaintyFactor() - Constructor for class elki.itemsetmining.associationrules.interest.CertaintyFactor

Constructor.

children - Variable in class elki.itemsetmining.FPGrowth.FPNode

Children.

collect(int, int[], int, int) - Method in interface elki.itemsetmining.FPGrowth.FPTree.Collector

Collect a single frequent itemset

compareLexicographical(Itemset, Itemset) - Static method in class elki.itemsetmining.Itemset

Robust compare using the iterators, lexicographical only!

compareTo(AssociationRule) - Method in class elki.itemsetmining.associationrules.AssociationRule

compareTo(Itemset) - Method in class elki.itemsetmining.DenseItemset

compareTo(Itemset) - Method in class elki.itemsetmining.Itemset

compareTo(Itemset) - Method in class elki.itemsetmining.OneItemset

compareTo(Itemset) - Method in class elki.itemsetmining.SmallDenseItemset

compareTo(Itemset) - Method in class elki.itemsetmining.SparseItemset

Confidence - Class in elki.itemsetmining.associationrules.interest

Confidence interestingness measure, \( \tfrac{\text{support}(X \cup Y)}{\text{support}(X)} = \tfrac{P(X \cap Y)}{P(X)}=P(Y|X) \).

Confidence() - Constructor for class elki.itemsetmining.associationrules.interest.Confidence

Constructor.

configure(Parameterization) - Method in class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par

configure(Parameterization) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par

consequent - Variable in class elki.itemsetmining.associationrules.AssociationRule

Consequent itemset

containedIn(SparseNumberVector) - Method in class elki.itemsetmining.DenseItemset

containedIn(SparseNumberVector) - Method in class elki.itemsetmining.Itemset

Test whether the itemset is contained in a bit vector.

containedIn(SparseNumberVector) - Method in class elki.itemsetmining.OneItemset

containedIn(SparseNumberVector) - Method in class elki.itemsetmining.SmallDenseItemset

Conviction - Class in elki.itemsetmining.associationrules.interest

Conviction interestingness measure: \(\frac{P(X) P(\neg Y)}{P(X\cap\neg Y)}\).

Conviction() - Constructor for class elki.itemsetmining.associationrules.interest.Conviction

Constructor.

Cosine - Class in elki.itemsetmining.associationrules.interest

Cosine interestingness measure, \(\tfrac{\text{support}(A\cup B)}{\sqrt{\text{support}(A)\text{support}(B)}} =\tfrac{P(A\cap B)}{\sqrt{P(A)P(B)}}\).

Cosine() - Constructor for class elki.itemsetmining.associationrules.interest.Cosine

Constructor.

count - Variable in class elki.itemsetmining.FPGrowth.FPNode

Key, weight, and number of children.

countItemSupport(Relation<BitVector>, int) - Method in class elki.itemsetmining.FPGrowth

Count the support of each 1-item.

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