Package: UniversalCVI 1.1.2
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: C. Alok. (2010) <https://hdl.handle.net/10603/93443>, 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) <arxiv:2308.14785>, C. H. Wu, C. S. Ouyang, L. W. Chen, L. W. Lu (2015) <doi:10.1109/TFUZZ.2014.2322495> and X. Xie, G. Beni (1991) <doi:10.1109/34.85677>.
Authors:
UniversalCVI_1.1.2.tar.gz
UniversalCVI_1.1.2.zip(r-4.5)UniversalCVI_1.1.2.zip(r-4.4)UniversalCVI_1.1.2.zip(r-4.3)
UniversalCVI_1.1.2.tgz(r-4.4-any)UniversalCVI_1.1.2.tgz(r-4.3-any)
UniversalCVI_1.1.2.tar.gz(r-4.5-noble)UniversalCVI_1.1.2.tar.gz(r-4.4-noble)
UniversalCVI_1.1.2.tgz(r-4.4-emscripten)UniversalCVI_1.1.2.tgz(r-4.3-emscripten)
UniversalCVI.pdf |UniversalCVI.html✨
UniversalCVI/json (API)
NEWS
# Install 'UniversalCVI' in R: |
install.packages('UniversalCVI', repos = c('https://nwiroonsri.r-universe.dev', 'https://cloud.r-project.org')) |
- D10_data - D10 Artificial Dataset
- D1_data - D1 Artificial Dataset
- D2_data - D2 Artificial Dataset
- D3_data - D3 Artificial Dataset
- D4_data - D4 Artificial Dataset
- D5_data - D5 Artificial Dataset
- D6_data - D6 Artificial Dataset
- D7_data - D7 Artificial Dataset
- D8_data - D8 Artificial Dataset
- D9_data - D9 Artificial Dataset
- R1_data - R1 Artificial Dataset
- R2_data - R2 Artificial Dataset
- R3_data - R3 Artificial Dataset
- R4_data - R4 Artificial Dataset
- R5_data - R5 Artificial Dataset
- R6_data - R6 Artificial Dataset
- R7_data - R7 Artificial Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 months agofrom:22f09f3ed3. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 28 2024 |
R-4.5-win | OK | Oct 28 2024 |
R-4.5-linux | OK | Oct 28 2024 |
R-4.4-win | OK | Oct 28 2024 |
R-4.4-mac | OK | Oct 28 2024 |
R-4.3-win | OK | Oct 28 2024 |
R-4.3-mac | OK | Oct 28 2024 |
Exports:AccClustCCV.IDXCH.IDXCSL.IDXDB.IDXDI.IDXFzzyCVIsGC.IDXHF.IDXHvalidKPBM.IDXKWON.IDXKWON2.IDXPB.IDXPBM.IDXplot_idxSF.IDXSTRPBM.IDXTANG.IDXWL.IDXWP.IDXWvalidXB.IDX