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 Package hyper allows fast approximate search of nearest neighbour vectors in n-dimensional space.
 
-**This is an early beta version**. Description below will be improved (TODO). See tests for examples.
-
-Package functions discretize a vector and generate a set of hashes, as described in the following document: https://similar.pictures/algorithm-for-hashing-high-dimensional-float-vectors.html
+Package functions discretize a vector and generate a set of hashes, as described in the following document: https://vitali-fedulov.github.io/algorithm-for-hashing-high-dimensional-float-vectors.html
 
 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.