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Chameleon

2D Data Sets used for the CHAMELEON Clustering Algorithm


Description

Several 2D data sets used to evaluate the CHAMELEON clustering alogrithm in the paper by Karypis et al (1999) and used by iVAT, an ordering-based tool to asses cluster tendency (Havens and Bezdek, 2012).

Usage

data(Chameleon)

Format

chameleon_ds4: The format is a 8,000 x 2 data.frame.

chameleon_ds5: The format is a 8,000 x 2 data.frame.

chameleon_ds7: The format is a 10,000 x 2 data.frame.

chameleon_ds8: The format is a 8,000 x 2 data.frame.

Source

References

Karypis, G., EH. Han, V. Kumar (1999): CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modeling, IEEE Computer, 32(8): 68–75. doi: 10.1109/2.781637

Havens, T.C. and Bezdek, J.C. (2012): An Efficient Formulation of the Improved Visual Assessment of Cluster Tendency (iVAT) Algorithm, IEEE Transactions on Knowledge and Data Engineering, 24(5), 813–822. doi: 10.1109/TKDE.2011.33

Examples

data(Chameleon)

plot(chameleon_ds4, cex=.1)

seriation

Infrastructure for Ordering Objects Using Seriation

v1.2-9
GPL-3
Authors
Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Kurt Hornik [aut, cph], Fionn Murtagh [ctb, cph], Michael Brusco [ctb, cph], Stephanie Stahl [ctb, cph], Hans-Friedrich Koehn [ctb, cph]
Initial release
2020-09-29

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