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.
|Author||Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut]|
|Date of publication||2018-04-30 15:53:29 UTC|
|Maintainer||Alexandros Karatzoglou <[email protected]>|
|Package repository||View on CRAN|
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