kernlab (0.9-25)

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]

License: GPL-2

Uses: Does not use any package
Reverse depends: bmrm, clustTool, CVST, DRR, DTRlearn, exprso, gene2pathway, kappalab, LinearizedSVR, MVpower, netClass, pathClass, probsvm, rminer, rvmbinary, stringkernels, svmadmm, SVMMaj, Synth, TreeRank
Reverse suggests: apcluster, BiodiversityR, bWGR, caret, caretEnsemble, colorspace, CompareCausalNetworks, conformal, dimRed, dismo, evtree, FactorsR, fpc, fscaret, gamclass, ks, mistral, mlr, mlrMBO, modelcf, MSCMT, pdp, pi0, plsRcox, pmml, preprocomb, rattle, RStoolbox, sand, SPOT, supervisedPRIM, TDMR, vcd
Reverse enhances: clue

Released 8 months ago.


18 previous versions

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Overall:

  4.0/5 (2 votes)

Documentation:

  5.0/5 (1 vote)

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


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