Artificial Example with 4 Gaussians
A simple artificial example for normal clustering with 4 latent classes, all of them having a Gaussian distribution. See the function definition for true means and covariances.
ExNclus(n) data("Nclus")
n |
Number of observations in the two small latent classes. |
The Nclus
data set can be re-created by ExNclus(100)
using set.seed(2602)
, it has been saved as a data set for
simplicity of examples only.
data("Nclus", package = "flexmix") require("MASS") eqscplot(Nclus, col = rep(1:4, c(100, 100, 150, 200)))
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