DS3: DS3: Spatial data with arbitrary shapes

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

DS3: Spatial data with arbitrary shapes

Description

Contains 8000 2-d points, with 6 "natural" looking shapes, all of which have an sinusoid-like shape that intersects with each cluster. The data set was originally used as a benchmark data set for the Chameleon clustering algorithm (Karypis, Han and Kumar, 1999) to illustrate the a data set containing arbitrarily shaped spatial data surrounded by both noise and artifacts.

Format

A data.frame with 8000 observations on the following 2 columns:

X

a numeric vector

Y

a numeric vector

Source

Obtained from http://cs.joensuu.fi/sipu/datasets/

References

Karypis, George, Eui-Hong Han, and Vipin Kumar (1999). Chameleon: Hierarchical clustering using dynamic modeling. Computer 32(8): 68-75.

Examples

data(DS3)
plot(DS3, pch = 20, cex = 0.25)

dbscan documentation built on Oct. 29, 2022, 1:13 a.m.