BIC to choose the number of components in a model based clustering using mixtures of von Mises-Fisher distributions
BIC to choose the number of components in a model based clustering using mixtures of von Mises-Fisher distributions
bic.mixvmf(x, A, n.start = 20)
x |
A matrix containing directional data. |
A |
The maximum number of clusters to be tested. Default value is 3. |
n.start |
The number of random starts to try. See also R's built-in function |
If the data are not unit vectors, they are transformed into unit vectors.
A list including:
BIC |
The BIC values for all the models tested. |
A plot |
A plot of the BIC values. |
runtime |
The run time of the algorithm. A numeric vector. The first element is the user time, the second element is the system time and the third element is the elapsed time. |
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>
Hornik, K. and Grun, B. (2014). movMF: An R package for fitting mixtures of von Mises-Fisher distributions. Journal of Statistical Software, 58(10):1–31.
x <- as.matrix( iris[, 1:4] ) x <- x / sqrt( rowSums(x^2) ) bic.mixvmf(x, 5)
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