E-PCA

Version 1.0.0.0 (6.46 MB) by Guillaume de Chambrier
(E)xponential-PCA
0.0
(0)
152 Downloads
Updated 13 Oct 2016
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Matlab implementation of E-PCA which is a non-linear dimensionality reduction method particularly suited for probability distributions, see the paper Exponential Family PCA for Belief Compression in POMDPs.

Cite As

Guillaume de Chambrier (2026). E-PCA (https://github.com/gpldecha/e-pca), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
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epca

extra

extra/gauss

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Version Published Release Notes
1.0.0.0

corrected description and added image

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.