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A Package for Finding Sparse Principal Components
 
 
 

Welcome
ALSPCA is a MATLAB package that aims at finding sparse and nearly uncorrelated principal components with orthogonal loading vectors while explaining as much of the total variance as possible. We would be delighted to hear from you if you find this package useful, or if you have any suggestions, contributions, or bug reports.
Contact Authors
Zhaosong Lu

zhaosong@sfu.ca

Yong Zhang*

yza30@sfu.ca

* provides the support of this package and updates of this website.
 
Acknowledgements
The ALSPCA software project has been supported in part by NSERC Discovery Grant.
Licsence
ALSPCA is distributed under GNU Public License.
Last updated July 2011.