kernlab v0.8-2

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Kernel Methods Lab

Kernel-based machine learning methods including support vector machines.

Functions in kernlab

Name Description
inlearn Onlearn object initialization
kpca-class Class "kpca"
csi-class Class "csi"
dots Kernel Functions
kkmeans Kernel k-means
inchol Incomplete Cholesky decomposition
kcca Kernel Canonical Correlation Analysis
as.kernelMatrix Assing kernelMatrix class to matrix objects
gausspr-class Class "gausspr"
kpca Kernel Principal Components Analysis
ksvm-class Class "ksvm"
kfa Kernel Feature Analysis
lssvm-class Class "lssvm"
csi Cholesky decomposition with Side Information
kfa-class Class "kfa"
kernelMatrix Kernel Matrix functions
rvm-class Class "rvm"
gausspr Gaussian processes for regression and classification
promotergene E. coli promoter gene sequences (DNA)
onlearn Kernel Online Learning algorithms
spam Spam E-mail Database
ipop-class Class "ipop"
specc-class Class "specc"
musk Musk data set
predict.ksvm predict method for support vector object
predict.gausspr predict method for Gaussian Processes object
ranking Ranking
spirals Spirals Dataset
lssvm Least Squares Support Vector Machine
ranking-class Class "ranking"
prc-class Class "prc"
vm-class Class "vm"
specc Spectral Clustering
onlearn-class Class "onlearn"
income Income Data
plot plot method for support vector object
rvm Relevance Vector Machine
ipop Quadratic Programming Solver
couple Probabilities Coupling function
ksvm Support Vector Machines
ticdata The Insurance Company Data
kcca-class Class "kcca"
kha-class Class "kha"
inchol-class Class "inchol"
sigest Hyperparameter estimation for the Gaussian Radial Basis kernel
kernel-class Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"
kha Kernel Principal Components Analysis
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Details

Date 2006-09-05
SaveImage Yes
License GPL version 2 or newer
Packaged Tue Sep 5 21:31:31 2006; hornik

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