amjams/spca_am

Version 1.0.0.0 (11.3 KB) by AJ
Sparse Principal Component Analysis using Alternating Maximization
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Updated 17 Aug 2015
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This is a Sparse Principal Component Analysis (SPCA) Toolbox which Performs 8 formulations of the SPCA algorithm introduced by Richtarik et. al
http://arxiv.org/abs/1212.4137 (For theoretical background)

Details of the toolbox can be found in the ReadMe entry of the github link provided

Cite As

AJ (2026). amjams/spca_am (https://github.com/amjams/spca_am), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2013a
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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Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.0.0

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.