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Package hyper allows fast approximate search of nearest neighbour vectors in n-dimensional space.
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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
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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).
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To use the package follow the sequence of functions/methods:
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1) CubeSet or CentralCube, depending which one is used for a database record and which one for a query.
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