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 14 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:	1.18
Depends:	R (≥ 3.0.1)
Imports:	stats, class, graphics, methods
Published:	2018-11-20
Author:	Yusen Zhang [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

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