Visualization of High Dimensional data

Reference:

http://www.codeproject.com/Tips/788739/Visualization-of-High-Dimensional-Data-using-t-SNE
https://github.com/lvdmaaten/bhtsne/
http://nbviewer.jupyter.org/urls/gist.githubusercontent.com/AlexanderFabisch/1a0c648de22eff4a2a3e/raw/59d5bc5ed8f8bfd9ff1f7faa749d1b095aa97d5a/t-SNE.ipynb
http://www.nature.com/ni/journal/v15/n4/fig_tab/ni.2842_SF2.html
http://www.nature.com/nbt/journal/v33/n5/full/nbt.3192.html?cookies=accepted#supplementary-information
http://www.nature.com/ni/journal/v17/n4/full/ni.3368.html
http://stats.stackexchange.com/questions/69157/why-do-we-need-to-normalize-data-before-analysis
http://stats.stackexchange.com/questions/105592/not-normalizing-data-before-pca-gives-better-explained-variance-ratio
http://stackoverflow.com/questions/14432557/matplotlib-scatter-plot-with-different-text-at-each-data-point
http://nbviewer.jupyter.org/urls/gist.githubusercontent.com/AlexanderFabisch/1a0c648de22eff4a2a3e/raw/59d5bc5ed8f8bfd9ff1f7faa749d1b095aa97d5a/t-SNE.ipynb
http://scikit-learn.org/stable/modules/clustering.html#clustering-performance-evaluation
http://stats.stackexchange.com/questions/72839/how-to-use-r-prcomp-results-for-prediction
http://www.sthda.com/english/wiki/principal-component-analysis-in-r-prcomp-vs-princomp-r-software-and-data-mining

October 30, 2016