hulofun: Objective function
In RKUM: Robust Kernel Unsupervised Methods
hulofun R Documentation
Objective function
Description
Objective function of Huber's loss fucntion
Usage
hulofun(x)
Arguments
x
vector values
Value
a real value
Author(s)
Md Ashad Alam
<malam@tulane.edu>
References
Md Ashad Alam, Kenji Fukumizu and Yu-Ping Wang (2018),
Influence Function and Robust Variant of Kernel Canonical Correlation Analysis,
Neurocomputing, Vol. 304 (2018) 12-29.
M. Romanazzi (1992),
Influence in canonical correlation analysis,
Psychometrika
vol 57(2) (1992) 237-259.
See Also
See Also as halofun, ~~~
RKUM documentation built on June 22, 2022, 9:06 a.m.
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| hulofun | R Documentation |
Objective function
Description
Objective function of Huber's loss fucntion
Usage
hulofun(x)
Arguments
x |
vector values |
Value
a real value
Author(s)
Md Ashad Alam <malam@tulane.edu>
References
Md Ashad Alam, Kenji Fukumizu and Yu-Ping Wang (2018), Influence Function and Robust Variant of Kernel Canonical Correlation Analysis, Neurocomputing, Vol. 304 (2018) 12-29.
M. Romanazzi (1992), Influence in canonical correlation analysis, Psychometrika vol 57(2) (1992) 237-259.
See Also
See Also as halofun, ~~~
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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