B5_data

A <code>2</code>-dimensional dataset from Wiroonsri and Preedasawakul (2024) generated from <code>7</code> different Gaussian and <code>2</code> Uniform distributions labeled as <code>1-9</code>.

datasets

Algorithms for computing and generating plots with and without error bars for Bayesian cluster validity index (BCVI) (O. Preedasawakul, and N. Wiroonsri, A Bayesian Cluster Validity Index, Computational Statistics & Data Analysis, 202, 108053, 2025. <doi:10.1016/j.csda.2024.108053>) 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.

Onthada Preedasawakul

BayesCVI

Bayesian Cluster Validity Index

Nathakhun Wiroonsri

B5_data function

A data frame with 1820 data points and 3 variables<dl>
 <dt><code>x</code></dt>
<dd>Numeric values generated from Gaussian and Uniform distributions</dd> <dt><code>y</code></dt>
<dd>Numeric values generated from Gaussian and Uniform distributions</dd> <dt><code>label</code></dt>
<dd>Categorical labels 1,2,3,4,5,6,7,8,9</dd>
</dl>

Format

Nathakhun Wiroonsri and Onthada Preedasawakul

Author

B5 Artificial Dataset — B5_data

A data frame with 1820 data points and 3 variables<dl>
 <dt><code>x</code></dt>
<dd>Numeric values generated from Gaussian and Uniform distributions</dd>

 <dt><code>y</code></dt>
<dd>Numeric values generated from Gaussian and Uniform distributions</dd>

 <dt><code>label</code></dt>
<dd>Categorical labels 1,2,3,4,5,6,7,8,9</dd>


</dl>

B5_data: B5 Artificial Dataset

Description

Usage

Arguments

Format

Author

References

See Also