README.md
In rikenbit/CCIPCA: Incremental (online) PCA without estimation of covariance matrix
CCIPCA
An R implementation of Candit Covariance-free Incremental Principal Component Analysis (CCIPCA)
Installation
git clone https://github.com/rikenbit/CCIPCA/
R CMD INSTALL CCIPCA
or type the code below in the R console window
library(devtools)
devtools::install_github("rikenbit/CCIPCA")
References
J. Weng, Y. Zhang, and W. S. Hwang, "Candid covariance-free incremental principal component analysis", IEEE Trans. Pattern. Anal. Mach. Intell., vol 25, no. 8, pp. 1034-1040, Aug. 2003
License
Copyright (c) 2015 Koki Tsuyuzaki and RIKEN Bioinformatics Research Unit
Released under the Artistic License 2.0.
Authors
- Koki Tsuyuzaki
- Manabu Ishii
- Itoshi Nikaido
rikenbit/CCIPCA documentation built on May 27, 2019, 9:09 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
CCIPCA
An R implementation of Candit Covariance-free Incremental Principal Component Analysis (CCIPCA)
Installation
git clone https://github.com/rikenbit/CCIPCA/
R CMD INSTALL CCIPCA
or type the code below in the R console window
library(devtools)
devtools::install_github("rikenbit/CCIPCA")
References
J. Weng, Y. Zhang, and W. S. Hwang, "Candid covariance-free incremental principal component analysis", IEEE Trans. Pattern. Anal. Mach. Intell., vol 25, no. 8, pp. 1034-1040, Aug. 2003
License
Copyright (c) 2015 Koki Tsuyuzaki and RIKEN Bioinformatics Research Unit Released under the Artistic License 2.0.
Authors
- Koki Tsuyuzaki
- Manabu Ishii
- Itoshi Nikaido
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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