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The TriplClust algorithm assigns each point in a 3D or 2D point cloud a cluster label representing curves or noise. It can be used to detect curves in point clouds. TriplClust is based on hierarchical clustering of point triplets and is explained in Dalitz et al. (2019) <doi:10.5201/ipol.2019.234>.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.0) |
| LinkingTo: | Rcpp |
| Published: | 2026-11-04 |
| DOI: | 10.32614/CRAN.package.triplclust |
| Author: | Christoph Dalitz [aut, cre], Jens Wilberg [aut, cph], Lukas Aymans [aut, cph], Daniel Müllner [aut, cph], Vitali Krieger [aut] |
| Maintainer: | Christoph Dalitz <christoph.dalitz at hs-niederrhein.de> |
| License: | BSD_2_clause + file LICENSE |
| URL: | https://github.com/cdalitz/triplclust/ |
| NeedsCompilation: | yes |
| Citation: | triplclust citation info |
| Materials: | README, ChangeLog |
| CRAN checks: | triplclust results |
| Reference manual: | triplclust.html , triplclust.pdf |
| Package source: | triplclust_2.0.1.tar.gz |
| Windows binaries: | r-devel: triplclust_2.0.1.zip, r-release: triplclust_2.0.1.zip, r-oldrel: triplclust_2.0.1.zip |
| macOS binaries: | r-release (arm64): triplclust_2.0.1.tgz, r-oldrel (arm64): triplclust_2.0.1.tgz, r-release (x86_64): triplclust_2.0.1.tgz, r-oldrel (x86_64): triplclust_2.0.1.tgz |
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