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:
minor fixes in kcca and ksvm functions
No one has posted any comments yet. Perhaps you'd like to be the first?
Leave a comment
You must be logged in to post comments.