Fundamental Clustering Problems Suite
Overview
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
- 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
Documentation
- 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%
- The FCPS package HTML
Downloads
Repository
- 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
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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.
Dependencies
Installing FCPS adds 28 packages (16 with compiled code, 39 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, sp 4.3 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.4.3Latest2026-10-03 · current release · diff ↗ ·
removed 1 export
CrossEntropyClusteringadded 1 export
BalancedKmeansClustering - 1.4.1
- 1.4.02026-07-15 · diff ↗ ·
removed 1 export
PenalizedRegressionBasedClusteringadded 5 exports
ConsensusClustering, PFclustering, parApplyDataBasedCA, parApplyClusterAnalysis, parApplyDistanceBasedCA - RR 4.6.0 released · 2026-04-24
- 1.3.6
- 1.3.5
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.3.4
- 1.3.3
- RR 4.3.0 released · 2023-04-21
- 1.3.12022-05-20 · diff ↗ ·
added 5 exports
NetworkClustering, ClusterMCC, ClusterNormalize, ClusterRedefine, ClusterUpsamplingMinority - RR 4.2.0 released · 2022-04-22
- 1.3.02021-07-07 · diff ↗ ·
removed 1 export
CrossEntropyClusteringadded 6 exports
HDDClustering, ModelBasedVarSelClustering, SparseClustering, ClusterDunnIndex, ClusterDaviesBouldinIndex, ClusterShannonInfo - RR 4.1.0 released · 2021-05-18
- 1.2.7
Show 9 earlier eventsHide 9 earlier events
- 1.2.62020-12-11 · diff ↗ ·
removed 2 exports
DBscan, Hierarchical_DBSCANadded 3 exports
DBSCAN, HierarchicalDBSCAN, ClusterIntraDistances - 1.2.42020-09-07 · diff ↗
- 1.2.32020-06-26 · diff ↗
- 1.2.22020-06-07 · diff ↗ ·
removed 2 exports
pattern:^[[:upper:]]+, kmeansDistadded 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 - RR 4.0.0 released · 2020-04-24
- 1.2.0
- 1.1.02020-03-13 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+added 3 exports
pattern:^[[:upper:]]+, kmeansClustering, pdfClustering - 1.0.02020-02-11
- RR 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.
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.