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qkerntool  

Q-Kernel-Based and Conditionally Negative Definite Kernel-Based Machine Learning Tools
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("qkerntool", "1.19")



Attach the package and use:
library("qkerntool")
Maintained by
Yusen Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-16
Latest Update: 2019-04-13
Description:
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.
How to cite:
Yusen Zhang (2018). qkerntool: Q-Kernel-Based and Conditionally Negative Definite Kernel-Based Machine Learning Tools. R package version 1.19, https://cran.r-project.org/web/packages/qkerntool. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.17 (2018-11-16 17:40), 1.18 (2018-11-20 09:20), 1.19 (2019-04-14 01:02)
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Complete documentation for qkerntool
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