R: 2D Data Sets used for the CHAMELEON Clustering Algorithm

Chameleon {seriation} | R Documentation

## 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

The data was obtained from http://glaros.dtc.umn.edu/gkhome/cluto/cluto/download

### References

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

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.

### Examples

    data(Chameleon)

    plot(chameleon_ds4, cex=.1)

[Package seriation version 1.2-7 Index]