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: | 0.9-5 |
| Depends: | R (≥ 2.1.0), methods |
| Suggests: | SparseM |
| Date: | 2007-06-11 |
| Author: | Alexandros Karatzoglou, Alex Smola, Kurt Hornik |
| Maintainer: | Alexandros Karatzoglou <alexis at ci.tuwien.ac.at> |
| License: | GPL-2 |
| In views: | MachineLearning, Multivariate |
| CRAN checks: | kernlab results |
Downloads:
| Package source: | kernlab_0.9-5.tar.gz |
| MacOS X binary: | kernlab_0.9-5.tgz |
| Windows binary: | kernlab_0.9-5.zip |
| Reference manual: | kernlab.pdf |
| Vignettes: |
kernlab - An S4 Package for Kernel Methods in R |
| Old sources: | kernlab archive |