Kernel-Based Machine Learning Lab R package kernlab version 0.9-33 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) CRAN Task View: NaturalLanguageProcessing (https://CRAN.R-project.org/view=NaturalLanguageProcessing) CRAN Task View: Optimization (https://CRAN.R-project.org/view=Optimization) 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. Software Depends: R (>= 2.10) Imports: methods, stats, grDevices, graphics Alexandros Karatzoglou <alexandros.karatzoglou@gmail.com> Comprehensive R Archive Network (CRAN) Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut] (ORCID: <https://orcid.org/0000-0003-4198-9911>), National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb] GPL-2 2024-08-13 application/tgz https://CRAN.R-project.org/package=kernlab doi:10.32614/CRAN.package.kernlab