cauchypca
Robust Principal Component Analysis Using the Cauchy Distribution
A new robust principal component analysis algorithm is implemented that relies upon the Cauchy Distribution. The algorithm is suitable for high dimensional data even if the sample size is less than the number of variables. The methodology is described in this paper: Fayomi A., Pantazis Y., Tsagris M. and Wood A.T.A. (2024). "Cauchy robust principal component analysis with applications to high-dimensional data sets". Statistics and Computing, 34: 26. doi:10.1007/s11222-023-10328-x.
- Version1.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release01/24/2024
Team
Michail Tsagris
MaintainerShow author detailsAisha Fayomi
Show author detailsRolesContributorYannis Pantazis
Show author detailsRolesContributorAndrew T.A. Wood
Show author detailsRolesContributor
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- Imports4 packages