June 11th 2008
A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction
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Loading ...At last, my article on manifold learning has been published and is accessible with doi.org (it was not the case last week, that’s why I waited before publishing this post).
The journal is free, so you won’t have to pay to read it : Access to the EURASIP JASP article
I will publish additional figures here in a short time. The scikit is almost completed as well, I’m finishing the online tutorial for those who are interested in using it and/or enhancing it.
2 Comments »
Thomas Girault on 18 Jun 2008 at 3:17 PM #
Hello Matt,
I am a Phd student (Rennes, France) in the domain of natural language processing.
I would be very interested to try your manifold learning algorithms with data extracted from texts.
Is your code available somewhere ?
Thanks.
Thomas Girault
Matt on 18 Jun 2008 at 9:20 PM #
Hi Thomas !
You can get the code from the scikit learn, available on http://scipy.org/scipy/scikits. I’ve included there a small tutorial, but I’ll make an official announcement at the end of next week (I’m on vacation for the time being).