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kernlab (version 0.6-2)

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

0.6-2

License

GPL version 2 or newer

Maintainer

Alexandros Karatzoglou

Last Published

August 10th, 2018

Functions in kernlab (0.6-2)

kkmeans

Kernel k-means
chol.reduce

Incomplete Cholesky decomposition
inlearn

Onlearn object initialization
couple

Probabilities Coupling function
plot

plot method for support vector object
rvm

Relevance Vector Machine
ranking-class

Class "ranking"
inc.chol-class

Class "inc.chol"
rvm-class

Class "rvm"
ipop

Quadratic Programming Solver
kcca

Kernel Canonical Correlation Analysis
ksvm

Support Vector Machines
kpca-class

Class "kpca"
income

Income Data
spirals

Spirals Dataset
promotergene

E. coli promoter gene sequences (DNA)
ticdata

The Insurance Company Data
ranking

Ranking
specc

Spectral Clustering
onlearn-class

Class "onlearn"
sigest

Hyperparameter estimation for the Gaussian Radial Basis kernel
kha

Kernel Principal Components Analysis
ksvm-class

Class "ksvm"
kpca

Kernel Principal Components Analysis
spam

Spam E-mail Database
kcca-class

Class "kcca"
dots

Kernel Functions
ipop-class

Class "ipop"
musk

Musk data set
kfa

Kernel Feature Analysis
kha-class

Class "kha"
onlearn

Kernel Online Learning algorithms
gausspr

Gaussian processes for regression and classification
specc-class

Class "specc"
gausspr-class

Class "gausspr"
kernel-class

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

Class "kfa"
kernelMatrix

Kernel Matrix functions
predict.ksvm

predict method for support vector object