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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.

For more information, visit https://github.com/mmp2/megaman

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0.2

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0.1.1

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0.1.dev0

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megaman-0.2.tar.gz (8.5 MB) Copy SHA256 hash SHA256 Source None Jun 16, 2016

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