opticskxi: OPTICS K-Xi Density-Based Clustering
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 |
Documentation:
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