Code covered by the BSD License  

Highlights from
Statistical Learning Toolbox

from Statistical Learning Toolbox by Dahua Lin
Functions for statistical learning, pattern recognition and computer vision, covering many topics.

sledgeset2adjlist(n, edges, sch)
function targets = sledgeset2adjlist(n, edges, sch)
%SLEDGESET2ADJLIST Converts edge set to adjacency list
%
% $ Syntax $
%   - targets = sledgeset2adjlist(n, edges, sch)
%
% $ Arguments $
%   - n:        The number of (source) nodes
%   - edges:    The set of edges (nedges x 2 or nedges x 3)
%   - sch:      The id of scheme of conversion to take
%               - 0:    no value -> no value
%               - 1:    no value -> has value
%               - 2:    has value -> no value
%               - 3:    has value -> has value
%   - targets:  The cell array of targets in adj list
%
% $ Remarks $
%   - an internal function for graph representation conversion.
%     no checking of input arguments would be performed.
%
% $ History $
%   - Created by Dahua Lin, on Sep 9, 2006
%

%% prepare storage

targets = cell(n, 1);

%% sort edges

I = edges(:, 1);
J = edges(:, 2);

[I, si] = sort(I);
J = J(si);

if sch == 3
    V = edges(si, 3);
elseif sch == 1
    nedges = length(I);
    V = ones(nedges, 1);
end

%% group targets

nums = slcount(I);
ni = length(nums);
[spos, epos] = slnums2bounds(nums);

if sch == 1 || sch == 3
    for i = 1 : ni
        s = spos(i); e = epos(i);
        if s <= e
            targets{I(s)} = [J(s:e), V(s:e)];
        end
    end
else
    for i = 1 : ni
        s = spos(i); e = epos(i);
        if s <= e
            targets{I(s)} = J(s:e);
        end
    end
end



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