RKUM: Robust Kernel Unsupervised Methods

Robust kernel center matrix, robust kernel cross-covariance operator for kernel unsupervised methods, kernel canonical correlation analysis, influence function of identifying significant outliers or atypical objects from multimodal datasets. Alam, M. A, Fukumizu, K., Wang Y.-P. (2018) <doi:10.1016/j.neucom.2018.04.008>. Alam, M. A, Calhoun, C. D., Wang Y.-P. (2018) <doi:10.1016/j.csda.2018.03.013>.

Version: 0.1.1
Imports: stats, graphics
Published: 2019-03-04
Author: Md Ashad Alam
Maintainer: Md Ashad Alam <malam at tulane.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: RKUM results


Reference manual: RKUM.pdf
Package source: RKUM_0.1.1.tar.gz
Windows binaries: r-devel: RKUM_0.1.1.zip, r-devel-gcc8: RKUM_0.1.1.zip, r-release: RKUM_0.1.1.zip, r-oldrel: RKUM_0.1.1.zip
OS X binaries: r-release: RKUM_0.1.1.tgz, r-oldrel: RKUM_0.1.1.tgz


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