elad663/kernlab: Kernel-Based Machine Learning Lab
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.
Getting started
Browse package contents
Package details |
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| Author | Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut], National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb] |
| Maintainer | Alexandros Karatzoglou <alexandros.karatzoglou@gmail.com> |
| License | GPL-2 |
| Version | 0.9-27 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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