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)

Arguments

Details

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

Value

A list including:

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>

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

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

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Directional)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Directional/bic.mixvmf.Rd_%03d_medium.png", width=480, height=480)
> ### Name: bic.mixvmf
> ### Title: BIC to choose the number of components in a model based
> ###   clustering using mixtures of von Mises-Fisher distributions
> ### Aliases: bic.mixvmf
> ### Keywords: Mixtures of von Mises-Fisher distributions BIC of the mixture
> ###   models
> 
> ### ** Examples
> 
> x <- as.matrix( iris[, 1:4] )
> x <- x / sqrt( rowSums(x^2) )
> bic.mixvmf(x, 5)
$bic
         1          2          3          4          5 
 -594.3975 -1489.4761 -1590.8789 -1575.0911 -1561.4591 

$runtime
   user  system elapsed 
  0.212   0.000   0.211 

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>