Package: triplclust 2.0.1

triplclust: Algorithm for Curve Detection in 3D Point Clouds

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>.

Authors:Christoph Dalitz [aut, cre], Jens Wilberg [aut, cph], Lukas Aymans [aut, cph], Daniel Müllner [aut, cph], Vitali Krieger [aut]

triplclust_2.0.1.tar.gz
triplclust_2.0.1.zip(r-4.7-x86_64)triplclust_2.0.1.zip(r-4.7-arm64)triplclust_2.0.1.zip(r-4.6-x86_64)triplclust_2.0.1.zip(r-4.6-arm64)triplclust_2.0.1.zip(r-4.5-x86_64)
triplclust_2.0.1.tgz(r-4.6-x86_64)triplclust_2.0.1.tgz(r-4.6-arm64)triplclust_2.0.1.tgz(r-4.5-x86_64)triplclust_2.0.1.tgz(r-4.5-arm64)
triplclust_2.0.1.tar.gz(r-4.7-arm64)triplclust_2.0.1.tar.gz(r-4.7-x86_64)triplclust_2.0.1.tar.gz(r-4.6-arm64)triplclust_2.0.1.tar.gz(r-4.6-x86_64)
triplclust_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
triplclust/json (API)

# Install 'triplclust' in R:
install.packages('triplclust', repos = c('https://cdalitz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cdalitz/triplclust/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

1.70 score 1 scripts 5 exports 1 dependencies

Last updated from:30602737cb. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK106
source / vignettesOK178
linux-release-arm64OK118
linux-release-x86_64OK109
macos-release-arm64OK161
macos-release-x86_64OK203
macos-oldrel-arm64OK180
macos-oldrel-x86_64OK354
windows-devel-arm64OK351
windows-devel-x86_64OK166
windows-release-arm64OK381
windows-release-x86_64OK133
windows-oldrel-x86_64OK97
wasm-releaseOK108

Exports:label_colorsplot_thresholdsave_csvsave_gnuplottriplclust

Dependencies:Rcpp