movMF_reduce_partitional {maotai}R Documentation

von Mises-Fisher mixture model reduction - partitional method

Description

When given parameters of the von Mises-Fisher mixture model, this function aims at mixture model reduction using a partitional method.

Usage

movMF_reduce_partitional(
  means,
  concentrations,
  weights,
  target.num = 2,
  method = c("hclust", "kmedoids")
)

Arguments

means

a (K \times p) matrix of means of the von Mises-Fisher components.

concentrations

a K vector of concentrations of the von Mises-Fisher components.

weights

a K vector of weights of the von Mises-Fisher components.

target.num

a desired number of components after reduction. Default is 2.

method

a clustering method to be used. Default is "hclust".

Value

a named list of the reduced mixture model containing

means

a (\code{target.num} \times p) matrix of means of the von Mises-Fisher components.

concentrations

a \code{target.num} vector of concentrations of the von Mises-Fisher components.

weights

a \code{target.num} vector of weights of the von Mises-Fisher components.


[Package maotai version 0.2.6 Index]