amjams/spca_am
Version 1.0.0.0 (11.3 KB) by
AJ
Sparse Principal Component Analysis using Alternating Maximization
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 (2024). 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 LinuxCategories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.0.0.0 |
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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.