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kernlab (version 0.9-25)

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, Gaussian Processes and a QP solver.

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Version

Install

install.packages('kernlab')

Monthly Downloads

90,280

Version

0.9-25

License

GPL-2

Maintainer

Alexandros Karatzoglou

Last Published

October 3rd, 2016

Functions in kernlab (0.9-25)

inchol

Incomplete Cholesky decomposition
income

Income Data
ipop

Quadratic Programming Solver
kcca-class

Class "kcca"
kha

Kernel Principal Components Analysis
prc-class

Class "prc"
kkmeans

Kernel k-means
predict.gausspr

predict method for Gaussian Processes object
promotergene

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

Class "ranking"
dots

Kernel Functions
kfa

Kernel Feature Analysis
gausspr-class

Class "gausspr"
kha-class

Class "kha"
kqr-class

Class "kqr"
kqr

Kernel Quantile Regression.
musk

Musk data set
onlearn-class

Class "onlearn"
specc-class

Class "specc"
specc

Spectral Clustering
predict.kqr

Predict method for kernel Quantile Regression object
predict.ksvm

predict method for support vector object
ranking

Ranking
reuters

Reuters Text Data
spirals

Spirals Dataset
stringdot

String Kernel Functions
as.kernelMatrix

Assing kernelMatrix class to matrix objects
couple

Probabilities Coupling function
rvm-class

Class "rvm"
rvm

Relevance Vector Machine
kcca

Kernel Canonical Correlation Analysis
kernel-class

Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"
kpca-class

Class "kpca"
kpca

Kernel Principal Components Analysis
lssvm-class

Class "lssvm"
csi-class

Class "csi"
csi

Cholesky decomposition with Side Information
kernelMatrix

Kernel Matrix functions
kfa-class

Class "kfa"
lssvm

Least Squares Support Vector Machine
sigest

Hyperparameter estimation for the Gaussian Radial Basis kernel
spam

Spam E-mail Database
kmmd-class

Class "kqr"
kmmd

Kernel Maximum Mean Discrepancy.
gausspr

Gaussian processes for regression and classification
inchol-class

Class "inchol"
inlearn

Onlearn object initialization
ipop-class

Class "ipop"
ticdata

The Insurance Company Data
vm-class

Class "vm"
ksvm-class

Class "ksvm"
ksvm

Support Vector Machines
onlearn

Kernel Online Learning algorithms
plot

plot method for support vector object