bic.mixvmf: BIC to choose the number of components in a model based...

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/bic.mixvmf.R

Description

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

Usage

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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.

Details

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

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.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>

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

mixvmf.mle, rmixvmf, mixvmf.contour

Examples

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x <- as.matrix( iris[, 1:4] )
x <- x / sqrt( rowSums(x^2) )
bic.mixvmf(x, 5)

Directional documentation built on Nov. 8, 2021, 1:07 a.m.