Difference between revisions of "10-601 DR"
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* PCA | * PCA | ||
** Bishop's 12.1 | ** Bishop's 12.1 | ||
| + | ** There is a tutorial description of PCA also here: [http://www.brainmapping.org/NITP/PNA/Readings/pca.pdf Shlens, Jonathon. "A tutorial on principal component analysis." Systems Neurobiology Laboratory, University of California at San Diego (2005).] | ||
* Manifold learning | * Manifold learning | ||
** ISOMAP [http://web.mit.edu/cocosci/Papers/sci_reprint.pdf A Global Geometric Framework for Nonlinear Dimensionality Reduction] | ** ISOMAP [http://web.mit.edu/cocosci/Papers/sci_reprint.pdf A Global Geometric Framework for Nonlinear Dimensionality Reduction] | ||
** LLE [http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=C34DA2B1646F1DE3B4B4CE4DCB21E317?doi=10.1.1.111.3313&rep=rep1&type=pdf Nonlinear Dimensionality Reduction by Locally Linear Embedding] | ** LLE [http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=C34DA2B1646F1DE3B4B4CE4DCB21E317?doi=10.1.1.111.3313&rep=rep1&type=pdf Nonlinear Dimensionality Reduction by Locally Linear Embedding] | ||
Revision as of 12:00, 24 October 2013
Slides
Readings
- PCA
- Bishop's 12.1
- There is a tutorial description of PCA also here: Shlens, Jonathon. "A tutorial on principal component analysis." Systems Neurobiology Laboratory, University of California at San Diego (2005).
- Manifold learning
