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Several quality measurements for investigating the performance of dimensionality reduction methods are provided here. In addition a new quality measurement called Gabriel classification error is made accessible, which was published in Thrun, M. C., Märte, J., & Stier, Q: "Analyzing Quality Measurements for Dimensionality Reduction" (2023), Machine Learning and Knowledge Extraction (MAKE), <doi:10.3390/make5030056>.
Version: | 0.2.1 |
Imports: | DatabionicSwarm |
Suggests: | plotly, geometry, deldir, FCPS, ProjectionBasedClustering (≥ 1.2.1), DataVisualizations, FastKNN, ggplot2, pcaPP, pracma, spdep, grid, igraph, cccd, sf |
Published: | 2023-10-12 |
DOI: | 10.32614/CRAN.package.DRquality |
Author: | Quirin Stier [aut], Florian Lerch [ctb], Julian Märte [aut], Hermann Tafo [ctb], Laukert Schlichting [ctb], Michael Thrun [aut, cph, cre] |
Maintainer: | Michael Thrun <m.thrun at gmx.net> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | DRquality results |
Reference manual: | DRquality.pdf |
Package source: | DRquality_0.2.1.tar.gz |
Windows binaries: | r-devel: DRquality_0.2.1.zip, r-release: DRquality_0.2.1.zip, r-oldrel: DRquality_0.2.1.zip |
macOS binaries: | r-release (arm64): DRquality_0.2.1.tgz, r-oldrel (arm64): DRquality_0.2.1.tgz, r-release (x86_64): DRquality_0.2.1.tgz, r-oldrel (x86_64): DRquality_0.2.1.tgz |
Old sources: | DRquality archive |
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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.