kernlab: Kernel-based Machine Learning Lab
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.
Downloads:
Reverse dependencies:
| Reverse depends: |
bmrm, CVST, kappalab, LinearizedSVR, MVpower, pathClass, probsvm, rminer, SVMMaj |
| Reverse imports: |
kernelFactory, pi0, plsRcox, Synth |
| Reverse suggests: |
apcluster, BiodiversityR, caret, colorspace, dismo, evtree, fpc, fscaret, gamclass, modelcf, plsRcox, pmml, rattle, SPOT, vcd |
| Reverse enhances: |
clue |