
Please see the cited article for a detailed presentation of these datasets. The data frame with name exN.M is presented in Section N.M in the paper.
Test1D (not in the article) has been simulated from a Gaussian mixture distribution in R.
ex4.1 and ex4.2 have been simulated from a Gaussian mixture distribution in R^2.
ex4.3 has been simulated from a mixture of a uniform distribution on a square and a spherical Gaussian distribution in R^2.
ex4.4.1 has been simulated from a Gaussian mixture model in R^2
ex4.4.2 has been simulated from a mixture of two uniform distributions in R^3.
data(Baudry_etal_2010_JCGS_examples)
ex4.1
is a data frame with 600 observations on 2 real variables. ex4.2
is a data frame with 600 observations on 2 real variables.
ex4.3
is a data frame with 200 observations on 2 real variables.
ex4.4.1
is a data frame with 800 observations on 2 real variables.
ex4.4.2
is a data frame with 300 observations on 3 real variables.
Test1D
is a data frame with 200 observations on 1 real variable.
data(Baudry_etal_2010_JCGS_examples)
output <- clustCombi(ex4.4.1)
output # is of class clustCombi
# plots the hierarchy of combined solutions, then some "entropy plots" which
# may help one to select the number of classes
plot(output, ex4.4.1)
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