FPCdpca
The FPCdpca Criterion on Distributed Principal Component Analysis
We consider optimal subset selection in the setting that one needs to use only one data subset to represent the whole data set with minimum information loss, and devise a novel intersection-based criterion on selecting optimal subset, called as the FPC criterion, to handle with the optimal sub-estimator in distributed principal component analysis; That is, the FPCdpca. The philosophy of the package is described in Guo G. (2025) doi:10.1016/j.physa.2024.130308.
- Version0.3.0
- R versionR (≥ 3.5.0)
- LicenseApache License (== 2.0)
- Needs compilation?No
- Last release05/09/2025
Team
Guangbao Guo
MaintainerShow author detailsJiarui Li
Show author detailsRolesContributor, Author
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- Imports2 packages
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