bitj = 16; prm_flag = 0; nthreads = 2; check_aggressive = 0.025; npats = 1024; ngenes = 2048; g_ij = 1:ngenes; Aall_n = randn(npats,ngenes); ptmp = randperm(npats); d ...
tutorial for lakcluster (and dexcluster) . Contribute to adirangan/lakcluster_matlab development by creating an account on GitHub.