annotate _FullBNT/KPMtools/compute_counts.m @ 9:4ea6619cb3f5 tip

removed log files
author matthiasm
date Fri, 11 Apr 2014 15:55:11 +0100
parents b5b38998ef3b
children
rev   line source
matthiasm@8 1 function count = compute_counts(data, sz)
matthiasm@8 2 % COMPUTE_COUNTS Count the number of times each combination of discrete assignments occurs
matthiasm@8 3 % count = compute_counts(data, sz)
matthiasm@8 4 %
matthiasm@8 5 % data(i,t) is the value of variable i in case t
matthiasm@8 6 % sz(i) : values for variable i are assumed to be in [1:sz(i)]
matthiasm@8 7 %
matthiasm@8 8 % Example: to compute a transition matrix for an HMM from a sequence of labeled states:
matthiasm@8 9 % transmat = mk_stochastic(compute_counts([seq(1:end-1); seq(2:end)], [nstates nstates]));
matthiasm@8 10
matthiasm@8 11 assert(length(sz) == size(data, 1));
matthiasm@8 12 P = prod(sz);
matthiasm@8 13 indices = subv2ind(sz, data'); % each row of data' is a case
matthiasm@8 14 %count = histc(indices, 1:P);
matthiasm@8 15 count = hist(indices, 1:P);
matthiasm@8 16 count = myreshape(count, sz);
matthiasm@8 17