R Observatory: Metrics for ProjectionBasedClustering version 1.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ProjectionBasedClustering

1.2.2

Projection Based Clustering

5packages depend

10.8Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Michael ThrunFirst published 2017-07-2316 releasesCRAN page ↗GitHub ↗

A clustering approach applicable to every projection method is proposed here. The two-dimensional scatter plot of any projection method can construct a topographic map which displays unapparent data structures by using distance and density information of the data. The generalized U*-matrix renders this visualization in the form of a topographic map, which can be used to automatically define the clusters of high-dimensional data. The whole system is based on Thrun and Ultsch, "Using Projection based Clustering to Find Distance and Density based Clusters in High-Dimensional Data" DOI:10.1007/s00357-020-09373-2. Selecting the correct projection method will result in a visualization in which mountains surround each cluster. The number of clusters can be determined by counting valleys on the topographic map. Most projection methods are wrappers for already available methods in R. By contrast, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the 'dredviz' software package, and the Curvilinear Component Analysis (CCA) is translated from 'MATLAB' ('SOM Toolbox' 2.0) to R.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ProjectionBasedClustering", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Mthrun/ProjectionBasedClustering")

Development version from Mthrun/ProjectionBasedClustering. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-projectionbasedclustering

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ProjectionBasedClustering

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ProjectionBasedClustering

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 5.0 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

95%

Documentation · exports

13

Dependencies · direct

Check history

NOTE2026-07-11
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 3 earlier snapshots

OK2026-04-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-09
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 63 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 64%

Downloads

10.8K

CRAN downloads in the past year

Rank #4,284 · ~30/day · ~901/mo

Releases R versions

Daily download trend is not available in this view yet.

38230 days

1.9K90 days

10.8K1 year

Compare downloads with other packages →

Also on431 r2u22 autocran37 c2d4u

Repository

GitHub ↗ mthrun/projectionbasedclustering

8Stars

4Forks

1Open issues

0Open PRs

0Releases

30Commits

3Contributors

30 commits · Last activity 2022-05-31 · 0% stars, 30d

Stars over time

2024-09-26 · 72026-07-07 · 8

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mthrun/projectionbasedclustering on 2026-08-16.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0

Imports (13)

Rcpp ggplot2statsgraphicsvegan deldir geometry GeneralizedUmatrix shiny shinyjs shinythemes plotlygrDevices

LinkingTo (1)

Rcpp

Suggests (21)

DataVisualizations fastICA tsne FastKNNMASSpcaPP spdep pracmagridmgcvfields png reshape2 Rtsnemethodsdendextend umap uwot DatabionicSwarm parallelDistparallel

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

2indirect

SaturnCoefficient smacofx DRquality DatabionicSwarm FCPS

Code & Tests

Datasets

People & History

People (10)

Maintainer (1)

Michael Thrun

Author, Maintainer, Copyright holder

Authors (5)

Michael Thrun

Author, Maintainer, Copyright holder

Florian Lerch

Author

Felix Pape

Author

Tim Schreier

Author · added in 1.1.0

Luis Winckelmann

Author · added in 1.1.0

Contributors (2)

Brinkmann Luca

Contributor · added in 1.2.0

Quirin Stier

Contributor, Reviewer · added in 1.2.0

Copyright holders (4)

Michael Thrun

Author, Maintainer, Copyright holder

van der Maaten Laurens

Copyright holder · added in 1.2.0

Kristian Nybo

Copyright holder · added in 1.0.1

Jarkko Venna

Copyright holder

Reviewers (1)

Quirin Stier

Contributor, Reviewer · added in 1.2.0

Listed in earlier versions (2)

Nybo Nybo

no longer listed · 1.0.0

Ulyanov Dimitry

no longer listed · 1.2.1

Package Timeline

16 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.2.2Latest
2024-06-14 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.2.1
2023-10-11 · diff ↗
1.2.0
2023-08-08 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1.8
2022-05-26 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.1.6
2020-12-11 · diff ↗
1.1.5
2020-10-25 · diff ↗
1.1.2
2020-08-25 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.1.1
2020-03-29 · diff ↗
1.1.0
2020-02-03 · diff ↗

Show 10 earlier events

R
R 3.6.0 released · 2019-04-26
1.0.7
2018-05-04 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.0.6
2018-01-31 · diff ↗
1.0.5
2017-11-17 · diff ↗
1.0.4
2017-08-21 · diff ↗
1.0.2
2017-08-01 · diff ↗
1.0.1
2017-07-24 · diff ↗
1.0.0
2017-07-23
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-23
Total releases: 16 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.0
Bundled data: 7.9 KB / 2 files
Download size: 115 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Cluster Analysis & Finite Mixture Models

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ProjectionBasedClustering")

Format

Thrun, M., Laurens, v. d. M., Lerch, F., Luca, B., Nybo, K., Pape, F., Schreier, T., Stier, Q., Venna, J., & Winckelmann, L. (2024). ProjectionBasedClustering: Projection Based Clustering (Version 1.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ProjectionBasedClustering

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ProjectionBasedClustering version 1.2.2 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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