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qkerntool
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]
[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 25 Oct. 2026.
Previous versions and publish date:
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Complete documentation for qkerntool
Functions, R codes and Examples using
the qkerntool R package
Some associated functions: Eucdist . as.cndkernmatrix . as.qkernmatrix . blkdiag . cndkernels-class . cndkernels . cndkernmatrix . mfeat_pix . qkIsomap-class . qkIsomap . qkLLE-class . qkLLE . qkMDS-class . qkMDS . qkdbscan-class . qkdbscan . qkernels-class . qkernels . qkernmatrix . qkgda-class . qkgda . qkpca-class . qkpca . qkprc-class . qkspecc-class . qkspecc . qkspeclust . qsammon-class . qsammon . qtSNE-class . qtSNE .
Some associated R codes: Eucdist.R . aaobjects.R . blkdiag.R . cndkernels.R . qkIsomap.R . qkLLE.R . qkMDS.R . qkdbscan.R . qkernels.R . qkernmatrix.R . qkgda.R . qkpca.R . qkspecc.R . qkspeclust.R . qsammon.R . qtSNE.R . Full qkerntool package functions and examples
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