amjams/spca_am
Sparse Principal Component Analysis using Alternating Maximization
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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 .
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
General Information
- Version 1.0.0.0 (11.3 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 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.
