Package: oneclust 0.3.0

oneclust: Maximum Homogeneity Clustering for Univariate Data

Maximum homogeneity clustering algorithm for one-dimensional data described in W. D. Fisher (1958) <doi:10.1080/01621459.1958.10501479> via dynamic programming.

Authors:Nan Xiao [aut, cre]

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oneclust.pdf |oneclust.html✨
oneclust/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/nanxstats/oneclust/issues

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

On CRAN:

clustering-algorithmfeature-engineeringhomogeneitypeak-callingunivariate-data

4.40 score 5 stars 162 downloads 4 exports 1 dependencies

Last updated 9 months agofrom:5aaff4a310. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:cudoneclustsim_postcode_levelssim_postcode_samples

Dependencies:Rcpp

Maximum Homogeneity Clustering for One-Dimensional Data

Nan Xiao <https://nanx.me>

Rendered fromoneclust.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2024-03-11
Started: 2020-08-17