View source: R/bi_functional_clustering.R
bifun_clu_parallel | R Documentation |
parallel version for functional clustering
bifun_clu_parallel(
data1,
data2,
Time1 = NULL,
Time2 = NULL,
trans = log10,
start,
end,
iter.max = 100,
thread = 2
)
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 |
the initial parameters for functional clustering
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