Description Usage Format References Examples

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.

1 |

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.

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.*

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
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.

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