RECA-package: RECA: Relevant Component Analysis for Supervised Distance...
In 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 (0000-0002-0250-5673)
See Also
Useful links:
-
-
Report bugs at https://github.com/nanxstats/RECA/issues
RECA documentation built on May 18, 2019, 1:01 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.
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 (0000-0002-0250-5673)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.