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megaman: Manifold Learning for Millions of Points

Project description

This repository contains a scalable implementation of several manifold learning algorithms, making use of FLANN for fast approximate nearest neighbors and PyAMG, LOBPCG, ARPACK, and other routines for fast matrix decompositions.

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Files for megaman, version 0.2
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