maotai (version 0.2.6)

movMF_reduce_partitional: 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")
)

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.

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".