kernlab v0.9-0

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Kernel Methods Lab

Kernel-based machine learning methods including support vector machines.

Functions in kernlab

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

Date 2006-11-24
SaveImage Yes
License GPL version 2 or newer
Packaged Thu Nov 23 10:23:23 2006; alexis

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