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.
