kerntools-package: kerntools: Kernel Functions and Tools for Machine Learning...
In kerntools: Kernel Functions and Tools for Machine Learning Applications
kerntools-package R Documentation
kerntools: Kernel Functions and Tools for Machine Learning Applications
Description
Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.
Author(s)
Maintainer: Elies Ramon eramon@everlyrusher.com (ORCID) [copyright holder]
See Also
Useful links:
kerntools documentation built on April 3, 2025, 7:52 p.m.
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| kerntools-package | R Documentation |
kerntools: Kernel Functions and Tools for Machine Learning Applications
Description
Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.
Author(s)
Maintainer: Elies Ramon eramon@everlyrusher.com (ORCID) [copyright holder]
See Also
Useful links:
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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