DBCV_datasets: DBCV Paper Datasets

In dbscan: Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms

DBCV Paper Datasets

Description

The four synthetic 2D datasets used in Moulavi et al (2014).

Format

Four data frames with the following 3 variables.

x

a numeric vector

y

a numeric vector

class

an integer vector indicating the class label. 0 means noise.

Source

https://github.com/pajaskowiak/dbcv

References

Davoud Moulavi and Pablo A. Jaskowiak and Ricardo J. G. B. Campello and Arthur Zimek and Jörg Sander (2014). Density-Based Clustering Validation. In Proceedings of the 2014 SIAM International Conference on Data Mining, pages 839-847 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1137/1.9781611973440.96")}

Examples

data("Dataset_1")
clplot(Dataset_1[, c("x", "y")], cl = Dataset_1$class)

data("Dataset_2")
clplot(Dataset_2[, c("x", "y")], cl = Dataset_2$class)

data("Dataset_3")
clplot(Dataset_3[, c("x", "y")], cl = Dataset_3$class)

data("Dataset_4")
clplot(Dataset_4[, c("x", "y")], cl = Dataset_4$class)

dbscan documentation built on April 3, 2025, 7:04 p.m.