skm_rgi_cpp {skm} | R Documentation |
solve skm with single and random size k s_init
skm_rgi_cpp(x, k, s_must, max_it)
x |
an m x n matrix often m < n, as a convention index rows of x with s, and cols of x with t so x(i, j) can be expressed as (s_i, t_j) equally. |
k |
number of index to be selected from x row index start from 0. |
s_must |
an index vector set should be selected before selecting other index. |
max_it |
max number of iterations can run for optimizing result. max number of iterations within a single initial run on optimal path. |
refer skm_sgl_cpp
skmSolution
Other skm: skm_mlp_cpp
,
skm_mls_cpp
, skm_rgs_cpp
,
skm_sgl_cpp