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kernlab (version 0.9-4)

Kernel Methods 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 and a QP solver.

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Version

Install

install.packages('kernlab')

Monthly Downloads

59,591

Version

0.9-4

License

GPL version 2

Maintainer

Alexandros Karatzoglou

Last Published

August 10th, 2018

Functions in kernlab (0.9-4)

gausspr

Gaussian processes for regression and classification
inchol-class

Class "inchol"
csi

Cholesky decomposition with Side Information
lssvm

Least Squares Support Vector Machine
kha-class

Class "kha"
predict.kqr

Predict method for kernel Quantile Regression object
kcca

Kernel Canonical Correlation Analysis
income

Income Data
ranking-class

Class "ranking"
promotergene

E. coli promoter gene sequences (DNA)
plot

plot method for support vector object
dots

Kernel Functions
kpca

Kernel Principal Components Analysis
kfa-class

Class "kfa"
onlearn

Kernel Online Learning algorithms
kqr

Kernel Quantile Regression.
sigest

Hyperparameter estimation for the Gaussian Radial Basis kernel
kernelMatrix

Kernel Matrix functions
predict.gausspr

predict method for Gaussian Processes object
kha

Kernel Principal Components Analysis
rvm

Relevance Vector Machine
ipop

Quadratic Programming Solver
predict.ksvm

predict method for support vector object
ranking

Ranking
rvm-class

Class "rvm"
couple

Probabilities Coupling function
kfa

Kernel Feature Analysis
ksvm

Support Vector Machines
ticdata

The Insurance Company Data
inlearn

Onlearn object initialization
kqr-class

Class "kqr"
kpca-class

Class "kpca"
ksvm-class

Class "ksvm"
vm-class

Class "vm"
inchol

Incomplete Cholesky decomposition
onlearn-class

Class "onlearn"
specc

Spectral Clustering
lssvm-class

Class "lssvm"
csi-class

Class "csi"
kcca-class

Class "kcca"
as.kernelMatrix

Assing kernelMatrix class to matrix objects
gausspr-class

Class "gausspr"
kkmeans

Kernel k-means
ipop-class

Class "ipop"
musk

Musk data set
spirals

Spirals Dataset
kernel-class

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

Class "prc"
spam

Spam E-mail Database
specc-class

Class "specc"