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: | 0.9-22 |
| Depends: | R (≥ 2.10) |
| Imports: | methods, stats, grDevices, graphics |
| Published: | 2015-08-05 |
| Author: | Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut] |
| Maintainer: | Alexandros Karatzoglou <alexis at ci.tuwien.ac.at> |
| License: | GPL-2 |
| Copyright: | see file COPYRIGHTS |
| NeedsCompilation: | yes |
| Citation: | kernlab citation info |
| In views: | Cluster, MachineLearning, Multivariate, NaturalLanguageProcessing, Optimization |
| CRAN checks: | kernlab results |
| Reference manual: | kernlab.pdf |
| Vignettes: |
kernlab - An S4 Package for Kernel Methods in R |
| Package source: | kernlab_0.9-22.tar.gz |
| Windows binaries: | r-devel: kernlab_0.9-22.zip, r-release: kernlab_0.9-22.zip, r-oldrel: kernlab_0.9-22.zip |
| OS X Snow Leopard binaries: | r-release: kernlab_0.9-22.tgz, r-oldrel: kernlab_0.9-20.tgz |
| OS X Mavericks binaries: | r-release: kernlab_0.9-22.tgz |
| Old sources: | kernlab archive |
| Reverse depends: | CVST, DTRlearn, kappalab, netClass, pathClass, probsvm, SVMMaj |
| Reverse imports: | COPASutils, fpc, fPortfolio, funcy, gkmSVM, kernelFactory, LinearizedSVR, mistral, pi0, plsRcox, qrjoint, rminer, SwarmSVM, Synth |
| Reverse suggests: | BiodiversityR, caret, caretEnsemble, colorspace, CompareCausalNetworks, conformal, dismo, evtree, fscaret, gamclass, mlr, pmml, preprocomb, rattle, RStoolbox, sand, SPOT, vcd |
| Reverse enhances: | clue |