kernlab provides 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, a QP solver and a range of kernels (gaussian, laplacian, string kernels etc.).
- Changes to previous version:
Initial Announcement on mloss.org.
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