Package: tclust 2.2-0

tclust: Robust Trimmed Clustering

Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.

Authors:Valentin Todorov [aut, cre], Luis Angel García Escudero [aut], Agustín Mayo Iscar [aut], Javier Crespo Guerrero [aut], Heinrich Fritz [aut]

tclust_2.2-0.tar.gz
tclust_2.2-0.zip(r-4.7)tclust_2.2-0.zip(r-4.6)tclust_2.2-0.zip(r-4.5)
tclust_2.2-0.tgz(r-4.6-x86_64)tclust_2.2-0.tgz(r-4.6-arm64)tclust_2.2-0.tgz(r-4.5-x86_64)tclust_2.2-0.tgz(r-4.5-arm64)
tclust_2.2-0.tar.gz(r-4.7-arm64)tclust_2.2-0.tar.gz(r-4.7-x86_64)tclust_2.2-0.tar.gz(r-4.6-arm64)tclust_2.2-0.tar.gz(r-4.6-x86_64)
tclust_2.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tclust/json (API)

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

Bug tracker:https://github.com/valentint/tclust/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

openblascppopenmp

8.34 score 3 stars 4 packages 84 scripts 7.3k downloads 10 mentions 21 exports 8 dependencies

Last updated from:f16798f6f6. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK151
linux-devel-x86_64OK165
source / vignettesOK246
linux-release-arm64OK160
linux-release-x86_64OK142
macos-release-arm64OK104
macos-release-x86_64OK225
macos-oldrel-arm64OK97
macos-oldrel-x86_64OK227
windows-develOK159
windows-releaseOK163
windows-oldrelOK189
wasm-releaseOK111

Exports:ctlcurvesDiscrFactFowlkesMallowsIndexplot.ctlcurvesplot.DiscrFactplot.rlgplot.tclustplot.tkmeansprint.ctlcurvesprint.DiscrFactprint.tclustprint.tkmeansrandIndexrlgsimula.rlgsimula.tclustsummary.DiscrFacttclusttclustICtclustICsoltkmeans

Dependencies:codetoolsdoParallelforeachiteratorsMASSRcppRcppArmadillorlang

A Trimming Approach to Cluster Analysis

Rendered fromtclust.rnwusingutils::Sweaveon May 25 2026.

Last update: 2024-05-09
Started: 2023-03-23