Baudry_etal_2010_JCGS_examples: Simulated Example Datasets From Baudry et al. (2010)

Description Usage Format References Examples

Description

Simulated Datasets used in Baudry et al. (2010) to illustrate the proposed mixture components combining method for clustering.

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.

Usage

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Format

ex4.1 is a data frame with 600 observations of 2 real variables.

ex4.2 is a data frame with 600 observations of 2 real variables.

ex4.3 is a data frame with 200 observations of 2 real variables.

ex4.4.1 is a data frame with 800 observations of 2 real variables.

ex4.4.2 is a data frame with 300 observations of 3 real variables.

Test1D is a data frame with 200 observations of 1 real variable.

References

J.-P. Baudry, A. E. Raftery, G. Celeux, K. Lo and R. Gottardo (2010). Combining mixture components for clustering. Journal of Computational and Graphical Statistics, 19(2):332-353.

Examples

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set.seed(1)

data(Baudry_etal_2010_JCGS_examples)

output <- mixmodCombi(ex4.4.2, nbCluster = 1:10, 
models = mixmodGaussianModel(listModels = "Gaussian_pk_Lk_Ck")) 

output # is of class MixmodCombi

## Not run: 
plot(output) # plots the hierarchy of combined solutions, then some "entropy plots" 
# which may help to select the number of classes

## End(Not run)

RmixmodCombi documentation built on May 30, 2017, 4:33 a.m.