comparison toolboxes/MIRtoolbox1.3.2/somtoolbox/som_drsignif.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 function sig = som_drsignif(sigmea,Cm)
2
3 % SOM_DRSIGNIF Significance measure from confusion matrix between two clusters and a rule.
4 %
5 % sig = som_drsignif(sigmea,Cm)
6 %
7 % sigmea (string) significance measure: 'accuracy',
8 % 'mutuconf' (default), or 'accuracyI'.
9 % (See definitions below).
10 % Cn Vectorized confusion matrix, or a matrix of such vectors.
11 % (vector) [a, c, b, d] (see below)
12 % (matrix) [[a1,c1,b1,d1], ..., [an,cn,bn,dn]]
13 %
14 % sig (vector) length=n, significance values
15 %
16 % The confusion matrix Cm below between group (G) and contrast group (not G)
17 % and rule (true - false) is used to determine the significance values:
18 %
19 % G not G
20 % --------------- accuracy = (a+d) / (a+b+c+d)
21 % true | a | b |
22 % |-------------- mutuconf = a*a / ((a+b)(a+c))
23 % false | c | d |
24 % --------------- accuracyI = a / (a+b+c)
25 %
26 % See also SOM_DREVAL, SOM_DRMAKE.
27
28 % Contributed to SOM Toolbox 2.0, March 4th, 2002 by Juha Vesanto
29 % Copyright (c) by Juha Vesanto
30 % http://www.cis.hut.fi/projects/somtoolbox/
31
32 % Version 2.0beta juuso 040302
33
34 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
35 %% input arguments
36
37 true_x = Cm(:,1); % x = in group
38 false_x = Cm(:,2); % false = rule is false
39 true_y = Cm(:,3); % true = rule is true
40 false_y = Cm(:,4); % y = not in group
41
42 true_items = true_x + true_y;
43 x_items = true_x + false_x;
44 all_items = true_x + false_x + true_y + false_y;
45 true_or_x = x_items + true_items - true_x;
46
47 switch sigmea,
48 case 'mutuconf',
49 % mutual confidence, or relevance (as defined in WSOM2001 paper)
50 sig = zeros(size(true_x));
51 i = find(true_items>0 & x_items>0);
52 sig(i) = (true_x(i).^2) ./ (true_items(i).*x_items(i));
53 case 'accuracy',
54 % accuracy
55 sig = (true_x + false_y) ./ all_items;
56 case 'accuracyI',
57 % accuracy such that false_y is left out of consideration
58 sig = true_x./true_or_x;
59 otherwise,
60 error(['Unrecognized significance measures: ' sigmea]);
61 end
62
63 return;