kernlab

Kernel-Based Machine Learning Lab

Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods 'kernlab' includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.

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Description file content

Package
kernlab
Version
0.9-27
Title
Kernel-Based Machine Learning Lab
Description
Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods 'kernlab' includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.
Depends
R (>= 2.10)
Imports
methods, stats, grDevices, graphics
LazyLoad
Yes
License
GPL-2
NeedsCompilation
yes
Packaged
2018-08-09 16:03:03 UTC; hornik
Author
Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut], National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb]
Maintainer
Alexandros Karatzoglou
Repository
CRAN
Date/Publication
2018-08-10 18:12:16 UTC

install.packages('kernlab')

0.9-27

2 months ago

Alexandros Karatzoglou

GPL-2

Depends on

R (>= 2.10)

Imports

methods, stats, grDevices, graphics

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