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 |
concentrations |
a |
weights |
a |
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]