kernlab (0.9-29)

1 user

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.

Maintainer: Alexandros Karatzoglou
Author(s): Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut], National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb]

License: GPL-2

Uses: Does not use any package
Reverse depends: bmrm, clustTool, CVST, DRR, DTRlearn, DTRlearn2, exprso, gene2pathway, kappalab, kfda, LinearizedSVR, MVpower, netClass, pathClass, probsvm, RaPKod, rminer, rvmbinary, stringkernels, svmadmm, SVMMaj, Synth, TreeRank
Reverse suggests: apcluster, BiodiversityR, breakDown, butcher, bWGR, caret, caretEnsemble, colorspace, CompareCausalNetworks, condvis2, conformal, dials, dimRed, dismo, evtree, FactorsR, FCPS, fpc, fscaret, gamclass, GAparsimony, kernelTDA, ks, loon, mistral, mlr, mlr3pipelines, mlrMBO, modelcf, MSCMT, parsnip, pdp, pi0, plsRcox, pmml, preprocomb, rattle, recipes, RStoolbox, sand, Semblance, SemiSupervised, shipunov, spectralGraphTopology, SPOT, ssc, SSLR, SuperLearner, supervisedPRIM, TDMR, tune, vcd
Reverse enhances: clue, prediction

Released 7 months ago.

22 previous versions



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Related packages: clue, e1071, amap, bayesm, cluster, clusterGeneration, clusterSim, clustvarsel, clv, fpc, mclust, poLCA, caret, earth, klaR, party, ROCR, rgenoud, rpart, RWeka(20 best matches, based on common tags.)

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Visit kernlab on R Graphical Manual.