DS3: Spatial data with arbitrary shapes
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.
A data.frame with 8000 observations on the following 2 columns:
a numeric vector
a numeric vector
Obtained from http://cs.joensuu.fi/sipu/datasets/
Karypis, George, Eui-Hong Han, and Vipin Kumar (1999). Chameleon: Hierarchical clustering using dynamic modeling. Computer 32(8): 68-75.
data(DS3) plot(DS3, pch = 20, cex = 0.25)
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