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

In seriation: Infrastructure for Ordering Objects Using Seriation

2D Data Sets used for the CHAMELEON Clustering Algorithm

Description

Several 2D data sets created to evaluate the CHAMELEON clustering algorithm in the paper by Karypis et al (1999).

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.

References

Karypis, G., EH. Han, V. Kumar (1999): CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modeling, IEEE Computer, 32(8): 68–75. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1109/2.781637")}

See Also

Other data: Irish, Munsingen, SupremeCourt, Townships, Wood, Zoo, create_lines_data(), is.robinson()

Examples

data(Chameleon)

plot(chameleon_ds4, cex = .1)
plot(chameleon_ds5, cex = .1)
plot(chameleon_ds7, cex = .1)
plot(chameleon_ds8, cex = .1)

seriation documentation built on April 3, 2025, 6:22 p.m.