RECA-package: RECA: Relevant Component Analysis for Supervised Distance...
In road2stat/RECA: Relevant Component Analysis for Supervised Distance Metric Learning
Description
Author(s)
See Also
Description
Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.
Author(s)
Maintainer: Nan Xiao me@nanx.me (ORCID)
See Also
Useful links:
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-
Report bugs at https://github.com/nanxstats/RECA/issues
road2stat/RECA documentation built on Dec. 30, 2021, 1:27 a.m.
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Description Author(s) See Also
Description
Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.
Author(s)
Maintainer: Nan Xiao me@nanx.me (ORCID)
See Also
Useful links:
Report bugs at https://github.com/nanxstats/RECA/issues
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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