lshknn

k nearest neighbor (KNN) graphs via Pearson correlation distance and local sensitive hashing (LSH).


License
MIT
Install
pip install lshknn==0.1.2

Documentation

LSHKNN

CPython module for fast calculation of k nearest neighbor (KNN) graphs in high-dimensional vector spaces using Pearson correlation distance and local sensitive hashing (LSH).

The current application is analysis of single cell RNA-Seq data. Paolo Carnevali is the owner of the algorithm code, which is also under MIT license:

https://github.com/chanzuckerberg/ExpressionMatrix2