# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "triplclust" in publications use:'
type: software
license: BSD-2-Clause
title: 'triplclust: Algorithm for Curve Detection in 3D Point Clouds'
version: 2.0.1
doi: 10.5201/ipol.2019.234
abstract: 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) <https://doi.org/10.5201/ipol.2019.234>.
authors:
- family-names: Dalitz
  given-names: Christoph
  email: christoph.dalitz@hs-niederrhein.de
- family-names: Wilberg
  given-names: Jens
- family-names: Aymans
  given-names: Lukas
- family-names: Müllner
  given-names: Daniel
- family-names: Krieger
  given-names: Vitali
preferred-citation:
  type: article
  title: 'TriplClust: An Algorithm for Curve Detection in 3D Point Clouds'
  authors:
  - family-names: Dalitz
    given-names: Christoph
    email: christoph.dalitz@hs-niederrhein.de
  - family-names: Wilberg
    given-names: Jens
  - family-names: Aymans
    given-names: Lukas
  year: '2019'
  journal: Image Processing Online
  doi: 10.5201/ipol.2019.234
  volume: '9'
  issn: 2105-1232
  notes: https://github.com/cdalitz/triplclust/
  start: 26-46
repository: https://cdalitz.r-universe.dev
repository-code: https://github.com/cdalitz/triplclust/
commit: 30602737cbb4ad9bffaaecebf102b9e5f43061a2
url: https://github.com/cdalitz/triplclust/
date-released: '2026-10-18'
contact:
- family-names: Dalitz
  given-names: Christoph
  email: christoph.dalitz@hs-niederrhein.de