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Fundamental Clustering Problems Suite

0packages dependsuggested by 3
12.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Over sixty clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the mirrored density plot (MD-plot) of clusterability are implemented. The packages is published in Thrun, M.C., Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX, DOI:10.1016/j.softx.2020.100642. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, DOI:10.1016/j.dib.2020.105501.

Install

Health

CRAN checks
13OK
Slowest check: 4.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-23
  • NOTE6 OK, 7 NOTE2026-06-09
  • ERROR6 OK, 6 NOTE, 1 ERROR2026-06-08
Show 1 earlier changeHide 1 earlier change
  • NOTE5 OK, 9 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.4.3
READMEYes · 510 wordsVignettesYes · 1 · staticNEWSNoCitation fileYes · cites a publicationWebsiteYes
Help pages
91 (1 internal)includes a package overview page
Examples that run
81%72 run in a plain check · 10 only when donttest examples are enabled (R CMD check --as-cran) · 5 never run · 2 hold no code
Exported functions with examples
99%
Documented parameters
100%
Return-value docs
99%
Help pages citing references
85%
Vignettes (1)

Downloads

12.1K
CRAN downloads in the past year
Rank #3,896 · ~33/day · ~1K/mo
Daily download trend is not available in this view yet.
1.1K30 days
2.4K90 days
12.1K1 year
Compare downloads with other packages →
Also on201 r2u4 autocran1.8K conda_forge135 c2d4u

Repository

26Stars
3Forks
1Open issues
0Open PRs
1Releases
236Commits
3Commit identities
clustering-algorithmscluster-tendencycluster-analysiscluster-challenger-packagedata-miningunsupervised-machine-learning
236 commits · Last activity 2026-10-03 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-07-03 · 232026-09-11 · 26
PracticesBeta

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

Checks run against github.com/mthrun/fcps on 2026-10-11.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Reverse dependencies
0direct
0indirect
Suggested by 3
Suggests, most downloaded first

Datasets

People & History

People (10)
Author, Maintainer since 1.0.0 (2020), Copyright holder
Contributor · added in 1.2.0
Contributor · added in 1.2.0
Contributor · added in 1.2.0
Contractor, Contributor
Contractor, Contributor · added in 1.2.0
Contributor · added in 1.2.0
Contributor, Reviewer · added in 1.2.2
Data contributor, Contributor
Compiler · added in 1.2.0
Releases (17)

Pick two releases to compare their code metrics.

  • 1.4.3Latest
    record
    2026-10-03 · current release · diff ↗ ·
    removed 1 export
    CrossEntropyClustering
    added 1 export
    BalancedKmeansClustering
  • 1.4.1
    record
    2026-08-20 · diff ↗ ·
    added 2 exports
    IsDissimilarity, ClusterAlignLabels
  • 1.4.0
    record
    2026-07-15 · diff ↗ ·
    removed 1 export
    PenalizedRegressionBasedClustering
    added 5 exports
    ConsensusClustering, PFclustering, parApplyDataBasedCA, parApplyClusterAnalysis, parApplyDistanceBasedCA
  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.6
    record
    2026-03-26 · diff ↗ ·
    removed 1 export
    ADPclustering
  • 1.3.5
    record
    2025-10-30 · diff ↗ ·
    added 2 exports
    ClusterAMI, ClusterNMI
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.3.4
    record
    2023-10-19 · diff ↗ ·
    added 1 export
    ClusterARI
  • 1.3.3
    record
    2023-05-30 · diff ↗ ·
    added 3 exports
    CrossEntropyClustering, MeanShiftClustering, GapStatistic
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3.1
    record
    2022-05-20 · diff ↗ ·
    added 5 exports
    NetworkClustering, ClusterMCC, ClusterNormalize, ClusterRedefine, ClusterUpsamplingMinority
  • R
    R 4.2.0 released · 2022-04-22
  • 1.3.0
    record
    2021-07-07 · diff ↗ ·
    removed 1 export
    CrossEntropyClustering
    added 6 exports
    HDDClustering, ModelBasedVarSelClustering, SparseClustering, ClusterDunnIndex, ClusterDaviesBouldinIndex, ClusterShannonInfo
  • R
    R 4.1.0 released · 2021-05-18
  • 1.2.7
    record
    2021-01-15 · diff ↗ ·
    added 1 export
    ClusterEqualWeighting
Show 9 earlier eventsHide 9 earlier events
  • 1.2.6
    record
    2020-12-11 · diff ↗ ·
    removed 2 exports
    DBscan, Hierarchical_DBSCAN
    added 3 exports
    DBSCAN, HierarchicalDBSCAN, ClusterIntraDistances
  • 1.2.4
    record
    2020-09-07 · diff ↗
  • 1.2.3
    record
    2020-06-26 · diff ↗
  • 1.2.2
    record
    2020-06-07 · diff ↗ ·
    removed 2 exports
    pattern:^[[:upper:]]+, kmeansDist
    added 51 exports
    ADPclustering, AgglomerativeNestingClustering, APclustering, AutomaticProjectionBasedClustering, CrossEntropyClustering, DatabionicSwarmClustering, DBscan, DensityPeakClustering, DivisiveAnalysisClustering, FannyClustering, GenieClustering, HCLclustering, HierarchicalClustering, Hierarchical_DBSCAN, LargeApplicationClustering, MarkovClustering, MinimalEnergyClustering, MinimaxLinkageClustering, ModelBasedClustering, MoGclustering, MSTclustering, NeuralGasClustering, OPTICSclustering, PAMclustering, PenalizedRegressionBasedClustering, ProjectionPursuitClustering, QTclustering, RobustTrimmedClustering, SharedNearestNeighborClustering, SOMclustering and 21 more
  • R
    R 4.0.0 released · 2020-04-24
  • 1.2.0
    record
    2020-04-23 · diff ↗ ·
    added 1 export
    kmeansDist
  • 1.1.0
    record
    2020-03-13 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 3 exports
    pattern:^[[:upper:]]+, kmeansClustering, pdfClustering
  • 1.0.0
    record
    2020-02-11
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-02-11
Total releases
17 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
1.5 MB / 11 files
Download size
3.6 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("FCPS")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.softx.2020.100642, 10.3390/pr9101697.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FCPS version 1.4.3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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