Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/KPMtools/compute_counts.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function count = compute_counts(data, sz) | |
2 % COMPUTE_COUNTS Count the number of times each combination of discrete assignments occurs | |
3 % count = compute_counts(data, sz) | |
4 % | |
5 % data(i,t) is the value of variable i in case t | |
6 % sz(i) : values for variable i are assumed to be in [1:sz(i)] | |
7 % | |
8 % Example: to compute a transition matrix for an HMM from a sequence of labeled states: | |
9 % transmat = mk_stochastic(compute_counts([seq(1:end-1); seq(2:end)], [nstates nstates])); | |
10 | |
11 assert(length(sz) == size(data, 1)); | |
12 P = prod(sz); | |
13 indices = subv2ind(sz, data'); % each row of data' is a case | |
14 %count = histc(indices, 1:P); | |
15 count = hist(indices, 1:P); | |
16 count = myreshape(count, sz); | |
17 |