Matthieu Brucher's blog

December 7th 2007

Manifold learning toolbox for Python

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As I approach the end of my PhD, I will propose my manifold learning code in a scikit (see this page) in a few weeks. For the moment, I don’t know which scikit will be used, but stay put…

The content of the scikit will be :

• Isomap
• LLE
• Laplacian eigenmaps
• Diffusion maps
• …

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Tags: Diffusion maps, Hessian Eigenmaps, Isomap, Laplacian Eigenmaps, LLE, Manifold learning, Multidimensional regression, PCA, projection, robust

2 Comments »

2 Responses to “Manifold learning toolbox for Python”

1. Barry Wark on 04 Jan 2008 at 8:14 PM #

   This is excellent! I was just buckling down to implement some of these algorithms myself. I’ll look forward to your scikit.

2. Matt on 15 Jan 2008 at 5:19 PM #

   I will propose them in the learn scikit but after my paper is accepted. I will propose here some results that will be exposed in it.

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