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ld sensitive hashing what is it and how does it work locality sensitive hashing is a technique that for similar inputs it would with high probability create outputs that fall in the same bucket unlike traditional hashing where we aim to minimize hashing collisions for locality sensitive hashing we actually strive to maximize collisions for similar items itamp;#39;s a simple hashing example of a traditional hash function with a series of different keys you may output it to several different values bounded in a finite sense but these values can be fairly scattered and itamp;#39;s non-uniform the one and the two despite being closed keys can map to completely different values meanwhile locality sensitive hashing similar keys will map to similar values so we may get something like this the key is that we try to group similar values together in locality sensitive hash functions so some further applications traditional hash you may see it in checksums you may see it in password hashing it
