bifun_clu_parallel: parallel version for functional clustering

In idopNetwork: A Network Tool to Dissect Spatial Community Ecology

parallel version for functional clustering

Description

parallel version for functional clustering

Usage

bifun_clu_parallel(
  data1,
  data2,
  Time1 = NULL,
  Time2 = NULL,
  trans = log10,
  start,
  end,
  iter.max = 100,
  thread = 2
)

Arguments

data1	data for cluster
data2	data for cluster
Time1	vector for the time point
Time2	vector for the time point
trans	indicate log/log2/log10 transform dataset
start	vector for the minimum cluster number
end	vector for the maximum cluster number
iter.max	scales control iteration for EM algorithm
thread	scales for how many thread used

Value

the initial parameters for functional clustering

idopNetwork documentation built on April 18, 2023, 9:09 a.m.