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kernlab (version 0.9-13)

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 and a QP solver.

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Version

Install

install.packages('kernlab')

Monthly Downloads

59,591

Version

0.9-13

License

GPL-2

Maintainer

Alexandros Karatzoglou

Last Published

August 8th, 2011

Functions in kernlab (0.9-13)

inlearn

Onlearn object initialization
kha

Kernel Principal Components Analysis
kmmd-class

Class "kqr"
sigest

Hyperparameter estimation for the Gaussian Radial Basis kernel
spam

Spam E-mail Database
ipop-class

Class "ipop"
kfa

Kernel Feature Analysis
as.kernelMatrix

Assing kernelMatrix class to matrix objects
kcca-class

Class "kcca"
kpca-class

Class "kpca"
rvm

Relevance Vector Machine
kqr

Kernel Quantile Regression.
onlearn-class

Class "onlearn"
promotergene

E. coli promoter gene sequences (DNA)
kernel-class

Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"
spirals

Spirals Dataset
kcca

Kernel Canonical Correlation Analysis
couple

Probabilities Coupling function
plot

plot method for support vector object
kqr-class

Class "kqr"
specc-class

Class "specc"
inchol

Incomplete Cholesky decomposition
gausspr

Gaussian processes for regression and classification
gausspr-class

Class "gausspr"
kernelMatrix

Kernel Matrix functions
csi-class

Class "csi"
ipop

Quadratic Programming Solver
inchol-class

Class "inchol"
kmmd

Kernel Maximum Mean Discrepancy.
ranking

Ranking
kpca

Kernel Principal Components Analysis
income

Income Data
predict.ksvm

predict method for support vector object
ticdata

The Insurance Company Data
kfa-class

Class "kfa"
kha-class

Class "kha"
musk

Musk data set
csi

Cholesky decomposition with Side Information
ksvm-class

Class "ksvm"
onlearn

Kernel Online Learning algorithms
lssvm

Least Squares Support Vector Machine
prc-class

Class "prc"
rvm-class

Class "rvm"
vm-class

Class "vm"
predict.kqr

Predict method for kernel Quantile Regression object
lssvm-class

Class "lssvm"
specc

Spectral Clustering
ranking-class

Class "ranking"
dots

Kernel Functions
ksvm

Support Vector Machines
stringdot

String Kernel Functions
predict.gausspr

predict method for Gaussian Processes object
kkmeans

Kernel k-means
reuters

Reuters Text Data