Matlab Embedding for visualization toolbox

Awesome.

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Personal information management. (Machine Learning, ASR, NLP, Data Mining, Computing techniques, etc)

Archives for the month of: August, 2013

Dimension reduction and Low-dimensional embedding

Good slides explaning PCA, MDS, ISOMAP, and LLE.

PCA: Preserving variance.

MDS: Preserving pairwise distances.

ISOMAP: Nonlinear embedding.

LLE: Local neighborhood is linear, but globally non-linear.

Latent Factor Models (LFMs) and LDA

Simple explanation on LFM.

Latent Factor Models are also called Latent Variable Models or Factor Analysis. http://www.cs.sjtu.edu.cn/~liwujun/paper/PhdThesis.pdf