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kernlab (version 0.9-9)

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

81,950

Version

0.9-9

License

GPL-2

Maintainer

Alexandros Karatzoglou

Last Published

October 15th, 2009

Functions in kernlab (0.9-9)

kpca

Kernel Principal Components Analysis
kqr

Kernel Quantile Regression.
onlearn-class

Class "onlearn"
specc

Spectral Clustering
kcca

Kernel Canonical Correlation Analysis
kha-class

Class "kha"
kpca-class

Class "kpca"
gausspr-class

Class "gausspr"
kcca-class

Class "kcca"
kkmeans

Kernel k-means
as.kernelMatrix

Assing kernelMatrix class to matrix objects
predict.kqr

Predict method for kernel Quantile Regression object
lssvm

Least Squares Support Vector Machine
predict.gausspr

predict method for Gaussian Processes object
kernelMatrix

Kernel Matrix functions
spirals

Spirals Dataset
specc-class

Class "specc"
plot

plot method for support vector object
kha

Kernel Principal Components Analysis
rvm

Relevance Vector Machine
predict.ksvm

predict method for support vector object
inchol-class

Class "inchol"
kfa-class

Class "kfa"
lssvm-class

Class "lssvm"
promotergene

E. coli promoter gene sequences (DNA)
onlearn

Kernel Online Learning algorithms
prc-class

Class "prc"
kqr-class

Class "kqr"
inchol

Incomplete Cholesky decomposition
reuters

Reuters Text Data
kmmd-class

Class "kqr"
ksvm-class

Class "ksvm"
musk

Musk data set
ipop

Quadratic Programming Solver
spam

Spam E-mail Database
gausspr

Gaussian processes for regression and classification
kmmd

Kernel Maximum Mean Discrepancy.
kfa

Kernel Feature Analysis
ipop-class

Class "ipop"
inlearn

Onlearn object initialization
stringdot

String Kernel Functions
income

Income Data
couple

Probabilities Coupling function
ticdata

The Insurance Company Data
ksvm

Support Vector Machines
sigest

Hyperparameter estimation for the Gaussian Radial Basis kernel
vm-class

Class "vm"
ranking-class

Class "ranking"
csi-class

Class "csi"
dots

Kernel Functions
csi

Cholesky decomposition with Side Information
rvm-class

Class "rvm"
kernel-class

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

Ranking