kernlab (0.9-18)
Kernel-based Machine Learning Lab.
http://cran.r-project.org/web/packages/kernlab
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.
Maintainer:
Alexandros Karatzoglou
Author(s): Alexandros Karatzoglou, Alex Smola, Kurt Hornik
License: GPL-2
Uses: Does not use any package
Reverse depends: bmrm, clustTool, CVST, gene2pathway, kappalab, LinearizedSVR, MVpower, pathClass, rminer, rvmbinary, stringkernels, SVMMaj, Synth, TreeRank
Reverse suggests: apcluster, BiodiversityR, caret, colorspace, dismo, evtree, fpc, gamclass, ks, modelcf, pi0, plsRcox, pmml, rattle, SPOT, TDMR, vcd
Reverse enhances: clue
Released 29 days ago.
12 previous versions
- kernlab_0.9-17. Released about 1 month ago.
- kernlab_0.9-16. Released 3 months ago.
- kernlab_0.9-15. Released 6 months ago.
- kernlab_0.9-14. Released over 1 year ago.
- kernlab_0.9-13. Released almost 2 years ago.
- kernlab_0.9-12. Released over 2 years ago.
- kernlab_0.9-11. Released over 2 years ago.
- kernlab_0.9-10. Released about 3 years ago.
- kernlab_0.9-9. Released over 3 years ago.
- kernlab_0.9-8. Released over 4 years ago.
- kernlab_0.9-7. Released almost 5 years ago.
- kernlab_0.9-5. Released almost 6 years ago.
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Related packages: clue, e1071, amap, bayesm, cluster, clusterGeneration, clusterSim, clustvarsel, clv, fpc, hybridHclust, LLAhclust, mclust, MFDA, poLCA, trimcluster, caret, earth, gafit, klaR … (20 best matches, based on common tags.)
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Visit kernlab on R Graphical Manual.
