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kernlab (version 0.6-1)

Kernel Methods Lab

Description

Kernel-based machine learning methods including support vector machines.

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Version

Install

install.packages('kernlab')

Monthly Downloads

79,895

Version

0.6-1

License

GPL version 2 or newer

Maintainer

Alexandros Karatzoglou

Last Published

August 10th, 2018

Functions in kernlab (0.6-1)

kfa

Kernel Feature Analysis
ranking

Ranking
income

Income Data
musk

Musk data set
kcca-class

Class "kcca"
kernelMatrix

Kernel Matrix functions
onlearn-class

Class "onlearn"
ranking-class

Class "ranking"
kha

Kernel Principal Components Analysis
chol.reduce

Incomplete Cholesky decomposition
dots

Kernel Functions
kha-class

Class "kha"
onlearn

Kernel Online Learning algorithms
ticdata

The Insurance Company Data
ksvm

Support Vector Machines
plot

plot method for support vector object
kcca

Kernel Canonical Correlation Analysis
rvm-class

Class "rvm"
inlearn

Onlearn object initialization
kpca-class

Class "kpca"
ksvm-class

Class "ksvm"
spam

Spam E-mail Database
kkmeans

Spectral Clustering
predict.ksvm

predict method for support vector object
rvm

Relevance Vector Machine
gausspr-class

Class "gausspr"
ipop

Quadratic Programming Solver
inc.chol-class

Class "inc.chol"
specc-class

Class "specc"
kpca

Kernel Principal Components Analysis
kfa-class

Class "kfa"
kernel-class

Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"
ipop-class

Class "ipop"
specc

Spectral Clustering
couple

Probabilities Coupling function
gausspr

Gaussian processes for regression and classification
sigest

Hyperparameter estimation for the Gaussian Radial Basis kernel
promotergene

E. coli promoter gene sequences (DNA)
spirals

Spirals Dataset