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Provides a novel density-based cluster extraction method, OPTICS k-Xi, and a framework to compare k-Xi models using distance-based metrics to investigate datasets with unknown number of clusters.
| Version: | 0.1 |
| Depends: | R (≥ 2.15) |
| Imports: | ggplot2, magrittr |
| Suggests: | amap, dbscan, cowplot, fastICA, fpc, ggrepel, grid, grDevices, gtable, knitr, parallel, plyr, reshape2, stats, testthat, utils |
| Published: | 2019-07-18 |
| Author: | Thomas Charlon |
| Maintainer: | Thomas Charlon <charlon at protonmail.com> |
| License: | GPL-3 | file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | opticskxi results |
| Reference manual: | opticskxi.pdf |
| Vignettes: |
OPTICS K-Xi Density-Based Clustering |
| Package source: | opticskxi_0.1.tar.gz |
| Windows binaries: | r-devel: opticskxi_0.1.zip, r-release: opticskxi_0.1.zip, r-oldrel: opticskxi_0.1.zip |
| macOS binaries: | r-release (arm64): opticskxi_0.1.tgz, r-oldrel (arm64): opticskxi_0.1.tgz, r-release (x86_64): opticskxi_0.1.tgz, r-oldrel (x86_64): opticskxi_0.1.tgz |
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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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