Package: UniversalCVI 1.4.0

UniversalCVI: Hard and Soft Cluster Validity Indices

Algorithms for checking the accuracy of a clustering result with known classes, computing cluster validity indices, and generating plots for comparing them. The package is compatible with K-means, fuzzy C means, EM clustering, and hierarchical clustering (single, average, and complete linkage). The details of the indices in this package can be found in: J. C. Bezdek, M. Moshtaghi, T. Runkler, C. Leckie (2016) <doi:10.1109/TFUZZ.2016.2540063>, T. Calinski, J. Harabasz (1974) <doi:10.1080/03610927408827101>, C. H. Chou, M. C. Su, E. Lai (2004) <doi:10.1007/s10044-004-0218-1>, D. L. Davies, D. W. Bouldin (1979) <doi:10.1109/TPAMI.1979.4766909>, J. C. Dunn (1973) <doi:10.1080/01969727308546046>, F. Haouas, Z. Ben Dhiaf, A. Hammouda, B. Solaiman (2017) <doi:10.1109/FUZZ-IEEE.2017.8015651>, M. Kim, R. S. Ramakrishna (2005) <doi:10.1016/j.patrec.2005.04.007>, S. H. Kwon (1998) <doi:10.1049/EL:19981523>, S. H. Kwon, J. Kim, S. H. Son (2021) <doi:10.1049/ell2.12249>, G. W. Miligan (1980) <doi:10.1007/BF02293907>, M. K. Pakhira, S. Bandyopadhyay, U. Maulik (2004) <doi:10.1016/j.patcog.2003.06.005>, M. Popescu, J. C. Bezdek, T. C. Havens, J. M. Keller (2013) <doi:10.1109/TSMCB.2012.2205679>, S. Saitta, B. Raphael, I. Smith (2007) <doi:10.1007/978-3-540-73499-4_14>, A. Starczewski (2017) <doi:10.1007/s10044-015-0525-8>, Y. Tang, F. Sun, Z. Sun (2005) <doi:10.1109/ACC.2005.1470111>, N. Wiroonsri (2024) <doi:10.1016/j.patcog.2023.109910>, N. Wiroonsri, O. Preedasawakul (2023) <doi:10.48550/arXiv.2308.14785>, C. H. Wu, C. S. Ouyang, L. W. Chen, L. W. Lu (2015) <doi:10.1109/TFUZZ.2014.2322495>, X. Xie, G. Beni (1991) <doi:10.1109/34.85677> and P.J. Rousseeuw (1987) and L. Kaufman and P.J. Rousseeuw(2009) <doi:10.1016/0377-0427(87)90125-7> and <doi:10.1002/9780470316801> C. Alok. (2010).

Authors:Nathakhun Wiroonsri [cre, aut], Onthada Preedasawakul [aut]

UniversalCVI_1.4.0.tar.gz
UniversalCVI_1.4.0.zip(r-4.7-any)UniversalCVI_1.4.0.zip(r-4.6-any)UniversalCVI_1.4.0.zip(r-4.5-any)
UniversalCVI_1.4.0.tgz(r-4.6-any)UniversalCVI_1.4.0.tgz(r-4.5-any)
UniversalCVI_1.4.0.tar.gz(r-4.7-any)UniversalCVI_1.4.0.tar.gz(r-4.6-any)
UniversalCVI_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
UniversalCVI/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.67 score 1 packages 31 scripts 395 downloads 24 exports 4 dependencies

Last updated from:2ea8893773. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK175
source / vignettesOK183
linux-releaseOK173
macos-releaseOK215
macos-oldrelOK237
windows-develOK108
windows-releaseOK131
windows-oldrelOK128
wasm-releaseOK99

Exports:AccClustCCV.IDXCH.IDXCSL.IDXDB.IDXDI.IDXFzzyCVIsGC.IDXHF.IDXHvalidKPBM.IDXKWON.IDXKWON2.IDXPB.IDXPBM.IDXplot_idxSF.IDXSH.IDXSTRPBM.IDXTANG.IDXWL.IDXWP.IDXWvalidXB.IDX

Dependencies:classe1071mclustproxy

Readme and manuals

Help Manual

Help pageTopics
Accuracy detection for a clustering result with known classesAccClust
Correlation Cluster Validity (CCV) indexCCV.IDX
Calinski–Harabasz (CH) indexCH.IDX
Chou-Su-Lai (CSL) indexCSL.IDX
D1 Artificial DatasetD1_data
D10 Artificial DatasetD10_data
D2 Artificial DatasetD2_data
D3 Artificial DatasetD3_data
D4 Artificial DatasetD4_data
D5 Artificial DatasetD5_data
D6 Artificial DatasetD6_data
D7 Artificial DatasetD7_data
D8 Artificial DatasetD8_data
D9 Artificial DatasetD9_data
Davies–Bouldin (DB) and DB* (DBs) indexesDB.IDX
Dunn indexDI.IDX
Fuzzy cluster validity indexes used in Wiroonsri and Preedasawakul (2023)FzzyCVIs
The generalized C indexGC.IDX
HF indexHF.IDX
Wiroonsri(2024) correlation-based cluster validity indices and other well-known cluster validity indicesHvalid
Modified Kernel form of Pakhira-Bandyopadhyay-Maulik (KPBM) indexKPBM.IDX
KWON indexKWON.IDX
KWON2 indexKWON2.IDX
Point biserial correlation (PB)PB.IDX
Pakhira-Bandyopadhyay-Maulik (PBM) indexPBM.IDX
Plots for visualizing CVIsplot_idx
R1 Artificial DatasetR1_data
R2 Artificial DatasetR2_data
R3 Artificial DatasetR3_data
R4 Artificial DatasetR4_data
R5 Artificial DatasetR5_data
R6 Artificial DatasetR6_data
R7 Artificial DatasetR7_data
The score functionSF.IDX
Silhouette indexSH.IDX
Starczewski and Pakhira-Bandyopadhyay-Maulik for crisp clustering indexesSTRPBM.IDX
Tang indexTANG.IDX
Wu and Li (WL) indexWL.IDX
Wiroonsri and Preedasawakul (WP) indexWP.IDX
Wiroonsri(2024) correlation-based cluster validity indicesWvalid
Xie and Beni (XB) indexXB.IDX