parallel version for functional clustering

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