Archives for the month of: August, 2013

Matlab Embedding for visualization toolbox




An effective nonlinear embedding for visualization.

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.