This documentation is
for astroML version 0.2
astroML Mailing List
GitHub Issue Tracker
Scipy 2012 (15 minute talk)
Scipy 2013 (20 minute talk)
If you use the software, please consider
This chapter covers dimensionality reduction, from linear methods such as
PCA, NMF, and ICA, to nonlinear methods such as LLE and Isomap.
SDSS spectra Examples
Scematic Diagram of PCA
Plot a visual representation of an SVD
SDSS spectra Decompositions
PCA Reconstruction of a spectrum
SDSS Reconstruction from Eigenspectra
Comparison of PCA and Manifold Learning
PCA Projection of SDSS Spectra
This documentation is relative
to astroML version 0.2
© 2012, Jake Vanderplas.
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