kernlab (0.9-27)

1 user

Kernel-Based Machine Learning Lab.

http://cran.r-project.org/web/packages/kernlab

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, fpc, fscaret, gamclass, GAparsimony, kernelTDA, ks, loon, mistral, mlr, mlrMBO, modelcf, MSCMT, parsnip, pdp, pi0, plsRcox, pmml, preprocomb, rattle, recipes, RStoolbox, sand, Semblance, SemiSupervised, shipunov, spectralGraphTopology, SPOT, ssc, SuperLearner, supervisedPRIM, TDMR, vcd
Reverse enhances: clue, prediction