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kernlab (version 0.9-0)
Kernel Methods Lab
Description
Kernel-based machine learning methods including support vector machines.
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Install
install.packages('kernlab')
Monthly Downloads
61,887
Version
0.9-0
License
GPL version 2 or newer
Maintainer
Alexandros Karatzoglou
Last Published
August 10th, 2018
Functions in kernlab (0.9-0)
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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