October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How to do it...
Perform the following steps to generate a frequent itemset using the Eclat algorithm:
- Similar to the Apriori method, we can use the eclat function to generate the frequent itemset:
> frequentsets=eclat(Groceries,parameter=list(support=0.05, maxlen=10))
- We can then obtain the summary information from the generated frequent itemset:
> summary(frequentsets) Output set of 31 itemsets most frequent items: whole milk other vegetables yogurt 4 2 2 rolls/buns frankfurter (Other) 2 1 23 element (itemset/transaction) length distribution:sizes 1 2 28 3 Min. 1st Qu. Median Mean 3rd Qu. Max. 1.000 1.000 1.000 1.097 1.000 2.000 summary of quality measures: support Min. :0.05236 1st Qu.:0.05831 Median :0.07565 Mean :0.09212 3rd Qu.:0.10173 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.