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Under which category of machine learning does Apriori algorithm fall: classification, regression, clustering or dimensionality reduction?

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Apriori algorithm is considered to be a classical algorithm in data mining. It is used for mining various itemsets and consistent association rules. It is built to work on a database containing a lot of transactions, say, for instance, items brought by customers in a store.

A model is prepared by gathering structures present in the input data. This may be to extract general rules. It may be by applying a mathematical process to systematically defeat redundancy, or it may be to organize data by similarity. This all comes under the clustering and dimensionality reduction problem.

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