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.

Package details

AuthorAlexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb]
MaintainerAlexandros Karatzoglou <alexandros.karatzoglou@gmail.com>
LicenseGPL-2
Version0.9-32
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("kernlab")

Try the kernlab package in your browser

Any scripts or data that you put into this service are public.

kernlab documentation built on Feb. 16, 2023, 10:13 p.m.