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BayesCVI  

Bayesian Cluster Validity Index
View on CRAN: Click here


Download and install BayesCVI package within the R console
Install from CRAN:
install.packages("BayesCVI")

Install from Github:
library("remotes")
install_github("cran/BayesCVI")

Install by package version:
library("remotes")
install_version("BayesCVI", "1.0.1")



Attach the package and use:
library("BayesCVI")
Maintained by
Onthada Preedasawakul
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-26
Latest Update: 2024-02-26
Description:
Algorithms for computing and generating plots with and without error bars for Bayesian cluster validity index (BCVI) (N. Wiroonsri, O. Preedasawakul (2024) ) based on several underlying cluster validity indexes (CVIs) including Calinski-Harabasz, Chou-Su-Lai, Davies-Bouldin, Dunn, Pakhira-Bandyopadhyay-Maulik, Point biserial correlation, the score function, Starczewski, and Wiroonsri indices for hard clustering, and Correlation Cluster Validity, the generalized C, HF, KWON, KWON2, Modified Pakhira-Bandyopadhyay-Maulik, Pakhira-Bandyopadhyay-Maulik, Tang, Wiroonsri-Preedasawakul, Wu-Li, and Xie-Beni indices for soft clustering. The package is compatible with K-means, fuzzy C means, EM clustering, and hierarchical clustering (single, average, and complete linkage). Though BCVI is compatible with any underlying existing CVIs, we recommend users to use either WI or WP as the underlying CVI.
How to cite:
Onthada Preedasawakul (2024). BayesCVI: Bayesian Cluster Validity Index. R package version 1.0.1, https://cran.r-project.org/web/packages/BayesCVI. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-02-26 17:20)
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Complete documentation for BayesCVI
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