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.

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Description file content

Package
qkerntool
Title
Q-Kernel-Based and Conditionally Negative Definite Kernel-Based Machine Learning Tools
Version
1.19
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.
Depends
R (>= 3.0.1)
Imports
stats, class, graphics, methods
License
GPL (>= 2)
Encoding
UTF-8
LazyData
true
Maintainer
Yusen Zhang
RoxygenNote
6.1.0
NeedsCompilation
no
Packaged
2019-04-13 04:27:58 UTC; Administrator
Author
Yusen Zhang [aut, cre] (), Daolin Pang [ctb], Jinghao Wang [ctb], Jialin Zhang [ctb]
Repository
CRAN
Date/Publication
2019-04-13 23:02:44 UTC

install.packages('qkerntool')

1.19

3 months ago

Yusen Zhang

GPL (>= 2)

Depends on

R (>= 3.0.1)

Imports

stats, class, graphics, methods

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