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Which technique was firstly used clustering documents using the similarity of two words or strings?

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Which technique was firstly used clustering documents using the similarity of two words or strings?

(a) MinHash

(b) Stack

(c) Priority Queue

(d) PAT Tree

My enquiry is from Hash Tables in portion Hash Tables of Data Structures & Algorithms I

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Right choice is (a) MinHash

Easiest explanation - In computer science as well as data mining, to find the similarity between two given sets, a technique called MinHash or min-wise independent permutation scheme is used. It helps in the quick estimation of similarity between two sets. It is used in clustering documents using the similarity of two words or strings.

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