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.
Version:
0.9-33
Depends:
R (≥ 2.10)
Imports:
methods, stats, grDevices, graphics
Published:
2024年08月13日
Author:
Alexandros Karatzoglou [aut, cre],
Alex Smola [aut],
Kurt Hornik
ORCID iD [aut],
National ICT Australia (NICTA) [cph],
Michael A. Maniscalco [ctb, cph],
Choon Hui Teo [ctb]
Maintainer:
Alexandros Karatzoglou <alexandros.karatzoglou at gmail.com>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Reverse depends:
CVST,
DRR,
DTRlearn2,
Iscores,
kappalab,
kebabs,
kfda,
KPC,
omada,
PPInfer,
svmpath
Reverse imports:
ABPS,
ADImpute,
ampir,
AnimalSequences,
aweSOM,
bigPLScox,
bootcluster,
brainKCCA,
calibrateBinary,
CFM,
classmap,
clusterExperiment,
clusterWebApp,
CondIndTests,
CondiS,
DA,
DMTL,
DynTxRegime,
Ecume,
ehymet,
finnts,
flevr,
fmf,
fpc,
fPortfolio,
gecko,
GeneralisedCovarianceMeasure,
geomod,
ggscidca,
gkmSVM,
GreedyExperimentalDesign,
kernelFactory,
kerntools,
KnowSeq,
kpcaIG,
KRMM,
ks,
lsirm12pl,
MachineShop,
microsynth,
mikropml,
mildsvm,
mixtools,
nlcv,
oddstream,
OmicSense,
PCDimension,
personalized,
PIUMA,
PLORN,
plsRcox,
pRoloc,
promor,
qrjoint,
QuESTr,
randomMachines,
REMP,
RISCA,
Rmagpie,
rminer,
robCompositions,
roclab,
ROI.plugin.ipop,
rres,
RSSL,
S4DM,
scAnnotatR,
scPCA,
scRecover,
ssMutPA,
survivalsvm,
SVMMaj,
Synth,
tboot,
TDApplied,
tidysynth,
tsensembler,
TSGS,
tsiR,
viralmodels,
visaOTR,
wearables
Reverse suggests:
aum,
BiodiversityR,
breakDown,
bundle,
butcher,
caret,
colorspace,
CompareCausalNetworks,
condvis2,
DataSimilarity,
dials,
diceR,
dimRed,
dismo,
E2E,
EpidigiR,
evtree,
fastml,
FBMS,
FCPS,
flowml,
gamclass,
GAparsimony,
healthyR.ts,
iForecast,
isotree,
LLMAgentR,
loon,
mistral,
mistyR,
MLInterfaces,
mlr,
mlr3cluster,
mlr3pipelines,
mlrMBO,
MLSeq,
mlspatial,
MLwrap,
modeltime,
MSCMT,
multiDEGGs,
parsnip,
pathMED,
pdp,
pmml,
rattle,
recipes,
RStoolbox,
sand,
Semblance,
shipunov,
soilassessment,
spect,
SpoMAG,
ssc,
stacks,
SuperLearner,
supervisedPRIM,
swag,
tidyAML,
tidysdm,
tune,
vcd,
WeightSVM,
writeAlizer
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=kernlab
to link to this page.