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: |
2024-08-13 |
DOI: |
10.32614/CRAN.package.kernlab |
Author: |
Alexandros Karatzoglou [aut, cre],
Alex Smola [aut],
Kurt Hornik [aut],
National ICT Australia (NICTA) [cph],
Michael A. Maniscalco [ctb, cph],
Choon Hui Teo [ctb] |
Maintainer: |
Alexandros Karatzoglou <alexandros.karatzoglou at gmail.com> |
License: |
GPL-2 |
Copyright: |
see file COPYRIGHTS |
NeedsCompilation: |
yes |
Citation: |
kernlab citation info |
In views: |
Cluster, MachineLearning, NaturalLanguageProcessing, Optimization |
CRAN checks: |
kernlab results |
Reverse depends: |
CVST, DRR, DTRlearn2, Iscores, kappalab, kebabs, kfda, KPC, omada, PPInfer, svmpath |
Reverse imports: |
ABPS, ADImpute, ampir, AnimalSequences, aweSOM, BPRMeth, brainKCCA, branchpointer, calibrateBinary, classmap, clusterExperiment, CondIndTests, CondiS, DA, DMTL, DynTxRegime, Ecume, ehymet, finnts, flevr, fmf, fpc, fPortfolio, gecko, GeneGeneInteR, GeneralisedCovarianceMeasure, geomod, ggscidca, gkmSVM, GreedyExperimentalDesign, kernelFactory, kerntools, KnowSeq, kpcaIG, kpcalg, KRMM, ks, lsirm12pl, MachineShop, microsynth, mikropml, mildsvm, mixtools, nlcv, oddstream, OmicSense, PCDimension, personalized, pheble, PIUMA, PLORN, plsRcox, PredCRG, pRoloc, promor, qrjoint, QuESTr, randomMachines, REMP, RISCA, Rmagpie, rminer, robCompositions, ROI.plugin.ipop, rres, RSSL, scAnnotatR, scPCA, scRecover, ssMutPA, STGS, survivalsvm, SVMMaj, Synth, tboot, TDApplied, tidysynth, tsensembler, TSGS, tsiR, visaOTR, wearables |
Reverse suggests: |
aum, BiodiversityR, breakDown, bundle, butcher, caret, colorspace, CompareCausalNetworks, condvis2, dials, diceR, dimRed, dismo, evclust, evtree, FCPS, flowml, fscaret, gamclass, GAparsimony, healthyR.ts, HPiP, iForecast, isotree, loon, microbiomeMarker, mistral, mistyR, MLInterfaces, mlr, mlr3cluster, mlr3pipelines, mlrMBO, MLSeq, modeltime, MSCMT, parsnip, pdp, pmml, rattle, recipes, RStoolbox, sand, Semblance, shipunov, soilassessment, spectralGraphTopology, ssc, SSLR, stacks, SuperLearner, superMICE, supervisedPRIM, swag, tidyAML, tidysdm, tune, vcd, WeightSVM |
Reverse enhances: |
clue, prediction |