R5_data

A <code>2</code>-dimensional dataset from Wiroonsri and Preedasawakul (2023) generated from <code>6</code> different Gaussian distributions labeled as <code>1-6</code>.

datasets

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
Rousseeuw (1987) and Kaufman and Rousseeuw(2009) <doi:10.1016/0377-0427(87)90125-7> and
<doi:10.1002/9780470316801>
C. Alok. (2010).

Nathakhun Wiroonsri

UniversalCVI

Hard and Soft Cluster Validity Indices

Onthada Preedasawakul

R5_data function

A data frame with 1200 data points and 3 variables<dl>
 <dt><code>x</code></dt>
<dd>Numeric values generated from Gaussian distributions</dd> <dt><code>y</code></dt>
<dd>Numeric values generated from Gaussian distributions</dd> <dt><code>label</code></dt>
<dd>Categorical labels 1,2,3,4,5,6</dd>
</dl>

Format

Nathakhun Wiroonsri and Onthada Preedasawakul

Author

R5 Artificial Dataset — R5_data

A data frame with 1200 data points and 3 variables<dl>
 <dt><code>x</code></dt>
<dd>Numeric values generated from Gaussian distributions</dd>

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

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


</dl>

R5_data: R5 Artificial Dataset

Description

Usage

Arguments

Format

Author

References

See Also