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: | AnomalyDetection, 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, bootcluster, brainKCCA, calibrateBinary, 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, 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, superMICE, supervisedPRIM, swag, tidyAML, tidysdm, tune, vcd, WeightSVM, writeAlizer |
| Reverse enhances: | clue, prediction |