Kernlab

author: Alexandros Karatzoglou, INSA of Rouen
published: Dec. 20, 2008,   recorded: December 2008,   views: 1883
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Description

kernlab is an R package providing kernel-based machine learning functionality. It is designed to provide tools for kernel algorithm development but also includes a range of popular machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other algorithms included in the package are Support Vector Machines, Spectral Clustering, Kernel PCA, a QP solver and a range of kernels (Gaussian, Laplacian, string kernels etc.).

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Download slides icon Download slides: mloss08_karatzoglou_kernlab_01.pdf (352.0 KB)


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