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What is Locality Sensitive Hashing Techniques about?
This document provides an overview of sketching and locality sensitive hashing techniques for data mining. It discusses using jaccard and cosine similarity to measure similarity between sets and vectors. It introduces the concepts of shingling documents into sets of n-grams, minhashing to generate signatures that preserve similarity between sets, and locality sensitive hashing to identify pairs of signatures that are likely similar and need further checking. The techniques aim to compress large collections
- Author
- John Simons
- Language
- EN