Package: gsdmm 0.0.6

Till Tietz

gsdmm: GSDMM Short Text Clustering via Dirichlet Mixture Models

This package implements a Dirichlet Mixture Model and accompanying Gibbs sampler for short text clustering proposed by Yin and Wang 2014.

Authors:Till Tietz [aut, cre], Akiru Kato [ctb]

gsdmm_0.0.6.tar.gz
gsdmm_0.0.6.zip(r-4.5)gsdmm_0.0.6.zip(r-4.4)gsdmm_0.0.6.zip(r-4.3)
gsdmm_0.0.6.tgz(r-4.5-x86_64)gsdmm_0.0.6.tgz(r-4.5-arm64)gsdmm_0.0.6.tgz(r-4.4-x86_64)gsdmm_0.0.6.tgz(r-4.4-arm64)gsdmm_0.0.6.tgz(r-4.3-x86_64)gsdmm_0.0.6.tgz(r-4.3-arm64)
gsdmm_0.0.6.tar.gz(r-4.5-noble)gsdmm_0.0.6.tar.gz(r-4.4-noble)
gsdmm_0.0.6.tgz(r-4.4-emscripten)gsdmm_0.0.6.tgz(r-4.3-emscripten)
gsdmm.pdf |gsdmm.html
gsdmm/json (API)

# Install 'gsdmm' in R:
install.packages('gsdmm', repos = c('https://paithiov909.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paithiov909/gsdmm/issues

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

On CRAN:

cpp

2.00 score 1 exports 11 dependencies

Last updated 5 months agofrom:5890200575. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 29 2025
R-4.5-win-x86_64OKJan 29 2025
R-4.5-mac-x86_64OKJan 29 2025
R-4.5-mac-aarch64OKJan 29 2025
R-4.5-linux-x86_64OKJan 29 2025
R-4.4-win-x86_64OKJan 29 2025
R-4.4-mac-x86_64OKJan 29 2025
R-4.4-mac-aarch64OKJan 29 2025
R-4.3-win-x86_64OKJan 29 2025
R-4.3-mac-x86_64OKJan 29 2025
R-4.3-mac-aarch64OKDec 30 2024

Exports:gsdmm

Dependencies:clifastmatchgluelatticelifecycleMatrixRcppRcppArmadilloRcppThreadrlangvctrs