Project details for kernlab

Logo kernlab 0.9-9

by alexis - November 2, 2009, 16:03:50 CET [ Project Homepage BibTeX Download ]

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Description:

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

BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Agnostic
Data Formats: None
Tags: Spectral Clustering, Svm, Kernel Methods, Kkmeans, Kpca, Quantile Regression, String Kernels, Nips2008
Archive: download here

Other available revisons

Version Changelog Date
0.9-9

minor fixes in kcca and ksvm functions

November 2, 2009, 16:03:50
0.9-8

Initial Announcement on mloss.org.

December 4, 2007, 07:39:32

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