From b98bf8c70df692b06690074124cbb7187ffecc40 Mon Sep 17 00:00:00 2001 From: Vitali Fedulov Date: Wed, 16 Mar 2022 18:51:23 +0100 Subject: [PATCH] - --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3010599..486a5f6 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,8 @@ # Hashing float vectors in N-dimensions -Package hyper allows fast approximate search of nearest neighbour vectors in n-dimensional space. It does not have any dependencies. +This package allows fast approximate search of nearest neighbour vectors in n-dimensional space. It does not have any dependencies. -Package functions discretize a vector and generate a set of hashes, as described [here](https://vitali-fedulov.github.io/algorithm-for-hashing-high-dimensional-float-vectors.html) (also as [PDF](https://github.com/vitali-fedulov/research/blob/main/Algorithm%20for%20hashing%20float%20vectors.pdf)). +Its functions discretize a vector and generate a set of hashes, as described [here](https://vitali-fedulov.github.io/algorithm-for-hashing-high-dimensional-float-vectors.html) (also as [PDF](https://github.com/vitali-fedulov/research/blob/main/Algorithm%20for%20hashing%20float%20vectors.pdf)). To use the package follow the sequence of functions/methods: 1) CubeSet or CentralCube, depending which one is used for a database record and which one for a query.