comparison core/magnatagatune/macro_validate_stober_randomsets.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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-1:000000000000 0:e9a9cd732c1e
1
2 nruns = 50;
3 weights = zeros(674, nruns);
4 for i = 1:50;
5 Gstob = ClipSimGraphStober();
6 Gstob.random_all_constraints_graph;
7 G = ClipSimGraphMulti(Gstob.to_DiGraph());
8
9 % ---
10 % derive similarity information: this
11 % returns the weights of edges meaning sim(a,b) > sim(a,c)
12 % ---
13 [weights(:,i), a, b, c] = G.similarities();
14 end
15
16 % ---
17 % lets see if the siilarity data is the same
18 % it is NOT
19 % ---
20 diff = sum(sum(abs(diff(weights))))
21
22 % ---
23 % ok, my theory is that
24 % a. all the three-edge components are erased one edge.
25 % b. if not all, then the ones with two edges
26 % being directed at the same node.
27 % ---
28
29 % ---
30 % have to convert, as for some reason
31 % this does not work yet on multigraphs
32 % ---
33 Gdi = DiGraph(G);
34 [Gs, s, id] = Gdi.connected_components();
35
36 for i = 1:numel(Gs)
37 edges(i) = Gs(i).num_edges();
38 end
39
40 % only 2-edge graphs
41 max(edges)
42
43 % ---
44 % test if graphs are subgraphs of 860 full ne
45 % ---
46 Gm = ClipSimGraphMulti(comparison, comparison_ids);
47 Gm.remove_cycles_lenght2;
48
49 Gm.isSubgraph(G)
50