qkerntool: Q-Kernel-Based and Conditionally Negative Definite Kernel-Based Machine Learning Tools

Nonlinear machine learning tool for classification, clustering and dimensionality reduction. It integrates 12 q-kernel functions and 15 conditional negative definite kernel functions and includes the q-kernel and conditional negative definite kernel version of density-based spatial clustering of applications with noise, spectral clustering, generalized discriminant analysis, principal component analysis, multidimensional scaling, locally linear embedding, sammon's mapping and t-Distributed stochastic neighbor embedding.

Version: 1.19
Depends: R (≥ 3.0.1)
Imports: stats, class, graphics, methods
Published: 2019-04-13
Author: Yusen Zhang ORCID iD [aut, cre], Daolin Pang [ctb], Jinghao Wang [ctb], Jialin Zhang [ctb]
Maintainer: Yusen Zhang <yusenzhang at 126.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: qkerntool results


Reference manual: qkerntool.pdf
Package source: qkerntool_1.19.tar.gz
Windows binaries: r-devel: qkerntool_1.19.zip, r-release: qkerntool_1.19.zip, r-oldrel: qkerntool_1.19.zip
macOS binaries: r-release (arm64): qkerntool_1.19.tgz, r-release (x86_64): qkerntool_1.19.tgz, r-oldrel: qkerntool_1.19.tgz
Old sources: qkerntool archive


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