Class implementing an Apriori-type algorithm.
Class implementing an Apriori-type algorithm
Class implementing an Apriori-type algorithm. Iteratively reduces the minimum support until it finds the required number of rules with the given minimum […]
Class implementing the predictive apriori algorithm to mine association rules.
Class implementing the predictive apriori algorithm to mine association rules. It searches with an increasing support threshold for the best 'n' rules […]
Class implementing the predictive apriori algorithm to mine association rules. It searches with an increasing support threshold for the best 'n' rules […]
Simple EM (expectation maximisation) class. EM assigns a probability distribution to each instance which indicates the probability of it belonging to each […]
Provides different algorithms to searches for frequent items in a list of item sets.
Provides different algorithms to searches for frequent items in a list of item sets.
Implements the LAC (Lazy Associative Classifier) algorithm, which uses associative rules to execute classifications
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