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kernlab  

Kernel-Based Machine Learning Lab
View on CRAN: Click here


Download and install kernlab package within the R console
Install from CRAN:
install.packages("kernlab")

Install from Github:
library("remotes")
install_github("cran/kernlab")

Install by package version:
library("remotes")
install_version("kernlab", "0.9-33")



Attach the package and use:
library("kernlab")
Maintained by
Alexandros Karatzoglou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-04-12
Latest Update: 2023-01-31
Description:
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.
How to cite:
Alexandros Karatzoglou (2004). kernlab: Kernel-Based Machine Learning Lab. R package version 0.9-33, https://cran.r-project.org/web/packages/kernlab. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-4 (2004-04-12 14:57), 0.2-1 (2004-06-04 19:58), 0.2-2 (2004-06-05 16:34), 0.3-1 (2004-10-14 16:53), 0.3-2 (2004-10-18 12:39), 0.4-2 (2004-11-05 09:06), 0.4-4 (2005-03-01 09:13), 0.6-1 (2005-07-30 12:44), 0.6-2 (2005-08-05 16:22), 0.8-1 (2006-04-23 20:52), 0.8-2 (2006-09-06 13:45), 0.8-3 (2006-10-06 17:50), 0.9-0 (2006-11-23 11:57), 0.9-1 (2006-12-20 12:44), 0.9-2 (2007-02-17 09:59), 0.9-4 (2007-05-07 17:06), 0.9-5 (2007-06-12 08:55), 0.9-7 (2008-08-07 18:38), 0.9-8 (2008-09-28 21:31), 0.9-9 (2009-10-15 12:51), 0.9-10 (2010-04-07 12:27), 0.9-11 (2010-09-27 14:53), 0.9-12 (2010-11-14 17:11), 0.9-13 (2011-08-08 08:16), 0.9-14 (2011-11-02 18:36), 0.9-15 (2012-11-28 17:31), 0.9-16 (2013-02-10 15:49), 0.9-17 (2013-03-19 15:58), 0.9-18 (2013-10-30 10:02), 0.9-19 (2013-11-03 17:56), 0.9-20 (2015-01-10 09:33), 0.9-22 (2015-08-05 18:51), 0.9-23 (2016-01-26 18:14), 0.9-24 (2016-03-29 14:14), 0.9-25 (2016-10-03 09:43), 0.9-26 (2018-04-30 17:53), 0.9-27 (2018-08-10 20:12), 0.9-28 (2019-11-09 17:52), 0.9-29 (2019-11-12 08:05), 0.9-30 (2022-04-02 06:48), 0.9-31 (2022-06-09 05:26), 0.9-32 (2023-01-31 16:26)
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