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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  [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 |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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