CRAN/E | BayesCVI

BayesCVI

Bayesian Cluster Validity Index

Installation

About

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.

Citation BayesCVI citation info

Key Metrics

Version 1.0.0
R ≥ 2.10
Published 2024-02-26 54 days ago
Needs compilation? no
License GPL (≥ 3)
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Maintainer

Maintainer

Onthada Preedasawakul

o.preedasawakul@gmail.com

Authors

Nathakhun Wiroonsri

aut

Onthada Preedasawakul

cre / aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 2.10

Imports

e1071
mclust
ggplot2
UniversalCVI