流形学习演示

MANI fold Learning Matlab Demo

Todd Wittman
Department of Mathematics
University of California, Los AngelesDOWNLOADSDOCUMENTATIONLINKS

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In the last few years, many manifold learning techniques have been developed for Non-Linear Dimensionality Reduction (NLDR). To my knowledge, no one has surveyed the techniques to determine which method performs the best and under which conditions each method is appropriate. To explore the different methods, I put together 8 manifold learning techniques and 9 basic examples into one Matlab GUI. I named it "mani", short for MANIfold Learning Matlab Demo. I hope this simple program can serve as an instruction tool and research aid for the manifold learning community. If you find the GUI useful or have comments or questions, please e-mail Todd Wittman at [e-mail].

mani.mMANIfold Learning Matlab Demo m-file
Just download this file, start Matlab, and type "mani".mani_presentation.pdfPresentation "Manifold Learning Techniques: So Which is the Best?"
This is a presentation I gave in Prof. Gilad Lerman's class on geometric data analysis at University of Minnesota.