keel.Algorithms.Discretizers.UCPD

Class FrequentItemsets

java.lang.Object

keel.Algorithms.Discretizers.UCPD.FrequentItemsets

public class FrequentItemsets
extends java.lang.Object

This class implements the algorithm to find the large itemsets of a dataset

Since:

JDK1.6

Version:

1.0

Author:

Written by Jose A. Saez (University of Granada), 21/12/2009

Constructor Summary

Constructors

Constructor and Description
FrequentItemsets()

Method Summary

Modifier and Type	Method and Description
static void	computeCandidates() It computes the candidate itemsets from lastCandidates and saves them into array candidates
static void	computeLarge1Itemsets(int[] numValues) It computes the large 1-itemsets from the instances array and it saves them into the array lastCandidates
static java.util.Vector<Itemset>	getFrequentItemsets(int[][] examples, int[] numValues) It computes the frequent itemsets and returns them

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FrequentItemsets

public FrequentItemsets()

Method Detail

getFrequentItemsets

public static java.util.Vector<Itemset> getFrequentItemsets(int[][] examples,
                                                            int[] numValues)

It computes the frequent itemsets and returns them

Parameters:

examples - matrix of instances

numValues - number of different values of each attribute

Returns:

the frequent itemsets

computeLarge1Itemsets

public static void computeLarge1Itemsets(int[] numValues)

It computes the large 1-itemsets from the instances array and it saves them into the array lastCandidates

Parameters:

numValues - number of different values of each attribute

computeCandidates

public static void computeCandidates()

It computes the candidate itemsets from lastCandidates and saves them into array candidates