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 :
- Laplacian eigenmaps
- Diffusion maps
3 thoughts on “
Manifold learning toolbox for Python”
This is excellent! I was just buckling down to implement some of these algorithms myself. I’ll look forward to your scikit.
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.
Dimensionality reduction is implemented in sklearn, so please visit http://scikit-learn.org/stable/ to have something that is maintained!