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lsh's Introduction

LSH for Go

Build Status GoDoc DOI

Documentation

Install: go get github.com/ekzhu/lsh

This library includes various Locality Sensitive Hashing (LSH) algorithms for the approximate nearest neighbour search problem in L2 metric space. The family of LSH functions for L2 is the work of Mayur Datar et.al.

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lsh's Issues

docs on parameter choice

thanks for implementing this!

I am interested in using the LSH-Forest after reading the Bawa et al paper. The docs for the constructor look like:

l is the number of hash tables to use, m is the number of hash values to concatenate to form the key to the hash tables, w is the slot size for the family of LSH functions.
  • The paper says to just set l large enough, e.g. 10.
  • I think the m in the function sig is k from the paper or, specifically km (the maximum label length == maximum number of hashes. correct?
  • I see that w is used to scale the hash-value. How does one choose this value? Is this what the Bawa paper defines as cl the number of colliding points that are then filtered to the closest k-nearest?

thanks,
-Brent

save the hash table

hello, this there any possible to save the buckets index for later usage, thanks

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