# when to use apriori vs eclat association rules in R

actually I have to extract from my data the frequent pattern in R.

The first algorithm I have used is apriori but reading some articles I have seen that also eclat is available in the same package.

My questions are: - Can we suppose that both algorithm retrive the same information ? For example when I set the same min support - Why if I use eclat the items are listed with the support information ?

The R codes I use are the following ones:

for APRIORI:

v_rules <- apriori(v_sold_tran, parameter = list(minlen=2,maxlen = 5,sup = 0.005, conf = 0.01, target="rules"))


for ECLAT:

itemsets <- eclat(v_sold_tran,parameter = list(supp = 0.005, maxlen = 5))