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, BPRMeth, brainKCCA, branchpointer, calibrateBinary, classmap, clusterExperiment, clusterWebApp, CondIndTests, CondiS, DA, DMTL, DynTxRegime, Ecume, ehymet, finnts, flevr, fmf, fpc, fPortfolio, gecko, GeneGeneInteR, 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, 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, HPiP, 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 |