Dimensionality Reduction Resources

PCA

A Tutorial on Principal Component Analysis

• arxiv: http://arxiv.org/abs/1404.1100

Compressive PCA on Graphs

• arxiv: http://arxiv.org/abs/1602.02070

Robust Principal Component Analysis on Graphs

• arxiv: http://arxiv.org/abs/1504.06151
• project: https://lts2.epfl.ch/blog/nauman/recent-projects/
• code: http://pan.baidu.com/s/1gepgIUv

Fast Randomized PCA/SVD

• blog: https://research.facebook.com/blog/294071574113354/fast-randomized-svd/
• baidu-pan: http://pan.baidu.com/s/1nt8I8qt
• github: https://github.com/facebook/fbpca

Improper applications of Principal Component Analysis on multimodal data

• blog: http://nxn.se/post/117471851320/improper-applications-of-principal-component

SVD

Feature Reduction using SVD

• blog: http://blog.applied.ai/feature-reduction-using-svd/
• ipn: http://nbviewer.jupyter.org/urls/bitbucket.org/appliedai/appliedai_svd/raw/02901de3aaa01be7b4536f484401113ddd5da8a9/01_FeatureReduction.ipynb

data-projector: Visualizing High-Dimensional Data in the Browser with SVD, t-SNE and Three.js

• github: https://github.com/datacratic/data-projector
• blog: http://datacratic.com/site/blog/visualizing-high-dimensional-data-browser-svd-t-sne-and-threejs
• demo: http://opensource.datacratic.com/data-projector/

RedSVD

• google-code: https://code.google.com/p/redsvd/
• github: https://github.com/handong1587/redsvd
• github: https://github.com/ntessore/redsvd-h

OpenCV 3.1.0: cv::SVD Class Reference

http://docs.opencv.org/3.1.0/df/df7/classcv_1_1SVD.html#gsc.tab=0

ICA

Independent component analysis

• blog: http://efavdb.com/independent-component-analysis/
• ipython notebook: http://nbviewer.jupyter.org/github/EFavDB/ICA/blob/master/pyaudio.ipynb