kernlab: Kernel-Based Machine Learning Lab

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.

AuthorAlexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut]
Date of publication2016-10-03 09:43:44
MaintainerAlexandros Karatzoglou <alexandros.karatzoglou@gmail.com>
LicenseGPL-2
Version0.9-25

View on CRAN

Man pages

as.kernelMatrix: Assing kernelMatrix class to matrix objects

couple: Probabilities Coupling function

csi: Cholesky decomposition with Side Information

csi-class: Class "csi"

dots: Kernel Functions

gausspr: Gaussian processes for regression and classification

gausspr-class: Class "gausspr"

inchol: Incomplete Cholesky decomposition

inchol-class: Class "inchol"

income: Income Data

inlearn: Onlearn object initialization

ipop: Quadratic Programming Solver

ipop-class: Class "ipop"

kcca: Kernel Canonical Correlation Analysis

kcca-class: Class "kcca"

kernel-class: Class "kernel" "rbfkernel" "polykernel", "tanhkernel",...

kernelMatrix: Kernel Matrix functions

kfa: Kernel Feature Analysis

kfa-class: Class "kfa"

kha: Kernel Principal Components Analysis

kha-class: Class "kha"

kkmeans: Kernel k-means

kmmd: Kernel Maximum Mean Discrepancy.

kmmd-class: Class "kqr"

kpca: Kernel Principal Components Analysis

kpca-class: Class "kpca"

kqr: Kernel Quantile Regression.

kqr-class: Class "kqr"

ksvm: Support Vector Machines

ksvm-class: Class "ksvm"

lssvm: Least Squares Support Vector Machine

lssvm-class: Class "lssvm"

musk: Musk data set

onlearn: Kernel Online Learning algorithms

onlearn-class: Class "onlearn"

plot: plot method for support vector object

prc-class: Class "prc"

predict.gausspr: predict method for Gaussian Processes object

predict.kqr: Predict method for kernel Quantile Regression object

predict.ksvm: predict method for support vector object

promotergene: E. coli promoter gene sequences (DNA)

ranking: Ranking

ranking-class: Class "ranking"

reuters: Reuters Text Data

rvm: Relevance Vector Machine

rvm-class: Class "rvm"

sigest: Hyperparameter estimation for the Gaussian Radial Basis...

spam: Spam E-mail Database

specc: Spectral Clustering

specc-class: Class "specc"

spirals: Spirals Dataset

stringdot: String Kernel Functions

ticdata: The Insurance Company Data

vm-class: Class "vm"

Files in this package

kernlab
kernlab/inst
kernlab/inst/CITATION
kernlab/inst/COPYRIGHTS
kernlab/inst/doc
kernlab/inst/doc/kernlab.R
kernlab/inst/doc/kernlab.pdf
kernlab/inst/doc/kernlab.Rnw
kernlab/src
kernlab/src/iweightfactory.h
kernlab/src/stringkernel.h
kernlab/src/introsort.h
kernlab/src/Makevars
kernlab/src/dbreakpt.c
kernlab/src/kspectrumweight.h
kernlab/src/dtron.c
kernlab/src/wkasailcp.cpp
kernlab/src/dgpnrm.c
kernlab/src/dtrpcg.c
kernlab/src/inductionsort.h
kernlab/src/ctable.cpp
kernlab/src/misc.c
kernlab/src/expdecayweight.h
kernlab/src/dcauchy.c
kernlab/src/wmsufsort.cpp
kernlab/src/dspcg.c
kernlab/src/datatype.h
kernlab/src/lcp.h
kernlab/src/stringk.c
kernlab/src/dtrqsol.c
kernlab/src/esa.cpp
kernlab/src/esa.h
kernlab/src/cweight.cpp
kernlab/src/errorcode.h
kernlab/src/dprsrch.c
kernlab/src/kspectrumweight.cpp
kernlab/src/svm.h
kernlab/src/dprecond.c
kernlab/src/msufsort.h
kernlab/src/wkasailcp.h
kernlab/src/stringkernel.cpp
kernlab/src/ctable.h
kernlab/src/brweight.h
kernlab/src/isafactory.h
kernlab/src/inductionsort.cpp
kernlab/src/lcp.cpp
kernlab/src/wmsufsort.h
kernlab/src/svm.cpp
kernlab/src/solvebqp.c
kernlab/src/stack.h
kernlab/src/Makevars.win
kernlab/src/dgpstep.c
kernlab/src/brweight.cpp
kernlab/src/expdecayweight.cpp
kernlab/src/ilcpfactory.h
kernlab/src/msufsort.cpp
kernlab/src/cweight.h
kernlab/NAMESPACE
kernlab/data
kernlab/data/spirals.rda
kernlab/data/reuters.rda
kernlab/data/income.rda
kernlab/data/spam.rda
kernlab/data/promotergene.rda
kernlab/data/musk.rda
kernlab/data/ticdata.rda
kernlab/R
kernlab/R/kkmeans.R kernlab/R/gausspr.R kernlab/R/inchol.R kernlab/R/csi.R kernlab/R/lssvm.R kernlab/R/kcca.R kernlab/R/kmmd.R kernlab/R/kqr.R kernlab/R/onlearn.R kernlab/R/kha.R kernlab/R/aobjects.R kernlab/R/kpca.R kernlab/R/kernels.R kernlab/R/ranking.R kernlab/R/specc.R kernlab/R/kfa.R kernlab/R/sigest.R kernlab/R/kernelmatrix.R kernlab/R/couplers.R kernlab/R/ksvm.R kernlab/R/ipop.R kernlab/R/rvm.R
kernlab/vignettes
kernlab/vignettes/jss.bib
kernlab/vignettes/A.cls
kernlab/vignettes/kernlab.Rnw
kernlab/MD5
kernlab/build
kernlab/build/vignette.rds
kernlab/DESCRIPTION
kernlab/man
kernlab/man/rvm-class.Rd kernlab/man/onlearn.Rd kernlab/man/kqr.Rd kernlab/man/couple.Rd kernlab/man/kpca.Rd kernlab/man/spirals.Rd kernlab/man/predict.gausspr.Rd kernlab/man/kqr-class.Rd kernlab/man/kfa-class.Rd kernlab/man/kmmd.Rd kernlab/man/as.kernelMatrix.Rd kernlab/man/musk.Rd kernlab/man/csi.Rd kernlab/man/ksvm-class.Rd kernlab/man/csi-class.Rd kernlab/man/vm-class.Rd kernlab/man/ticdata.Rd kernlab/man/inlearn.Rd kernlab/man/prc-class.Rd kernlab/man/promotergene.Rd kernlab/man/stringdot.Rd kernlab/man/ranking.Rd kernlab/man/dots.Rd kernlab/man/kmmd-class.Rd kernlab/man/kha-class.Rd kernlab/man/rvm.Rd kernlab/man/spam.Rd kernlab/man/kernelMatrix.Rd kernlab/man/gausspr-class.Rd kernlab/man/onlearn-class.Rd kernlab/man/ranking-class.Rd kernlab/man/kernel-class.Rd kernlab/man/lssvm-class.Rd kernlab/man/kfa.Rd kernlab/man/ksvm.Rd kernlab/man/inchol.Rd kernlab/man/kha.Rd kernlab/man/kkmeans.Rd kernlab/man/kpca-class.Rd kernlab/man/ipop-class.Rd kernlab/man/reuters.Rd kernlab/man/inchol-class.Rd kernlab/man/kcca.Rd kernlab/man/kcca-class.Rd kernlab/man/ipop.Rd kernlab/man/lssvm.Rd kernlab/man/sigest.Rd kernlab/man/plot.Rd kernlab/man/specc-class.Rd kernlab/man/gausspr.Rd kernlab/man/income.Rd kernlab/man/specc.Rd kernlab/man/predict.ksvm.Rd kernlab/man/predict.kqr.Rd

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