Package: hclust1d 0.1.1.9000

Szymon Nowakowski

hclust1d: Hierarchical Clustering of Univariate (1d) Data

Univariate agglomerative hierarchical clustering with a comprehensive list of choices of a linkage function in O(n*log n) time. The better algorithmic time complexity is paired with an efficient 'C++' implementation.

Authors:Szymon Nowakowski [aut, cre]

hclust1d_0.1.1.9000.tar.gz
hclust1d_0.1.1.9000.zip(r-4.7-x86_64)hclust1d_0.1.1.9000.zip(r-4.7-arm64)hclust1d_0.1.1.9000.zip(r-4.6-x86_64)hclust1d_0.1.1.9000.zip(r-4.6-arm64)hclust1d_0.1.1.9000.zip(r-4.5-x86_64)
hclust1d_0.1.1.9000.tgz(r-4.6-x86_64)hclust1d_0.1.1.9000.tgz(r-4.6-arm64)hclust1d_0.1.1.9000.tgz(r-4.5-x86_64)hclust1d_0.1.1.9000.tgz(r-4.5-arm64)
hclust1d_0.1.1.9000.tar.gz(r-4.7-arm64)hclust1d_0.1.1.9000.tar.gz(r-4.7-x86_64)hclust1d_0.1.1.9000.tar.gz(r-4.6-arm64)hclust1d_0.1.1.9000.tar.gz(r-4.6-x86_64)
hclust1d_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hclust1d/json (API)

# Install 'hclust1d' in R:
install.packages('hclust1d', repos = c('https://szymonnowakowski.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/szymonnowakowski/hclust1d/issues

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

On CRAN:

Conda:

cpp

5.00 score 3 stars 1 packages 11 scripts 397 downloads 3 exports 1 dependencies

Last updated from:809df7559f. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK177
linux-devel-x86_64OK182
source / vignettesOK237
linux-release-arm64OK171
linux-release-x86_64OK181
macos-release-arm64OK205
macos-release-x86_64OK282
macos-oldrel-arm64OK217
macos-oldrel-x86_64OK473
windows-devel-arm64OK426
windows-devel-x86_64OK242
windows-release-arm64OK425
windows-release-x86_64OK198
windows-oldrel-x86_64OK250
wasm-releaseOK115

Exports:hclust1dsupported_dist.methodssupported_methods

Dependencies:Rcpp

A guide on replacing stats::hclust with hclust1d
This document | Why bother? | Introduction | Compatibility of hclust1d with stats::hclust | Choosing a linkage function in hclust1d | Choosing a distance metric in hclust1d | Exceptions | Replacing stats::hclust in case of ward.D, centroid or median linkage functions | Optional changes to the surrounding code | Replacing stats::hclust in case of all other linkage functions, besides ward.D, centroid or median
Rendered fromreplacing-hclust.Rmdusingknitr::rmarkdown

Last update: 2023-08-07
Started: 2023-07-08

Getting started with hclust1d
This document | Clustering in 1D | Hierarchical clustering in a nutshell | Linkage function concept | Merging height | Linkage functions list | Computational complexity of 1D hierarchical clustering | OK, so let's get started | How to change the linkage function used for clustering | Should I provide points or rather a distance matrix to hclust1d? | Examples | What about squared distances? | A note on ward.D2 and ward.D | Cutting heights | References
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2023-08-02
Started: 2023-07-07