Package: kernlab Version: 0.9-33 Title: Kernel-Based Machine Learning Lab Authors@R: c(person("Alexandros", "Karatzoglou", role = c("aut", "cre"), email = "alexandros.karatzoglou@gmail.com"), person("Alex", "Smola", role = "aut"), person("Kurt", "Hornik", role = "aut", email = "Kurt.Hornik@R-project.org", comment = c(ORCID = "0000-0003-4198-9911")), person("National ICT Australia (NICTA)", role = "cph"), person(c("Michael", "A."), "Maniscalco", role = c("ctb", "cph")), person(c("Choon", "Hui"), "Teo", role = "ctb")) Description: 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. Depends: R (>= 2.10) Imports: methods, stats, grDevices, graphics LazyLoad: Yes License: GPL-2 NeedsCompilation: yes Packaged: 2026-07-04 19:57:06 UTC; root 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 Repository: https://alexkz.r-universe.dev Date/Publication: 2024-08-14 02:47:04 UTC RemoteUrl: https://github.com/cran/kernlab RemoteRef: HEAD RemoteSha: d8f05c9b1b8d220deb98fdf28cd33471f17d5eae