Directional (version 4.0)

BIC for the 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

Description

BIC to choose the number of components in a model based clustering using mixtures of von Mises-Fisher distributions

Usage

bic.mixvmf(x, A, n.start = 20)

Arguments

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 kmeans for more information about this.

Value

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.

Details

If the data are not unit vectors, they are transformed into unit vectors.

References

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.

See Also

mix.vmf, rmixvmf, mixvmf.contour

Examples

# NOT RUN {
x <- as.matrix( iris[, 1:4] )
x <- x / sqrt( rowSums(x^2) )
bic.mixvmf(x, 5)
# }