Cassini | R Documentation |
A Cassini data set with 1000 points in 2-dimensional space which are drawn from the uniform distribution on 3 structures. The two outer structures are banana-shaped; the “middle” structure in between them is a circle.
data("Cassini")
A classed list with components
x
a matrix with 1000 rows and 2 columns giving the coordinates of the points.
classes
a factor indicating which structure the respective points belong to.
Instances of Cassini data sets can be created using function
mlbench.cassini
in package mlbench.
The data set at hand was obtained using
library("mlbench") set.seed(1234) Cassini <- mlbench.cassini(1000)
data("Cassini")
op <- par(mfcol = c(1, 2))
## Plot the data set:
plot(Cassini$x, col = as.integer(Cassini$classes),
xlab = "", ylab = "")
## Create a "random" k-means partition of the data:
set.seed(1234)
party <- kmeans(Cassini$x, 3)
## And plot that.
plot(Cassini$x, col = cl_class_ids(party),
xlab = "", ylab = "")
## (We can see the problem ...)
par(op)
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