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 and a QP solver.
| Version: | 0.9-8 |
| Depends: | R (≥ 2.1.0), methods |
| Published: | 2008-09-28 |
| Author: | Alexandros Karatzoglou, Alex Smola, Kurt Hornik |
| Maintainer: | Alexandros Karatzoglou <alexis at ci.tuwien.ac.at> |
| License: | GPL-2 |
| Citation: | kernlab citation info |
| In views: | MachineLearning, Multivariate, NaturalLanguageProcessing, Optimization |
| CRAN checks: | kernlab results |
| Package source: | kernlab_0.9-8.tar.gz |
| MacOS X binary: | kernlab_0.9-8.tgz |
| Windows binary: | kernlab_0.9-8.zip |
| Reference manual: | kernlab.pdf |
| Vignettes: |
kernlab - An S4 Package for Kernel Methods in R |
| Old sources: | kernlab archive |
| Reverse depends: | Synth, clustTool, gene2pathway, kappalab, stringkernels |
| Reverse suggests: | caret, colorspace, ks, pmml, rattle, vcd |
| Reverse enhances: | clue |