dualmaxvariance.m.svn-base
来自「a function inside machine learning」· SVN-BASE 代码 · 共 15 行
SVN-BASE
15 行
function b = dualMaxVariance(K, Kj, Y, Yj)
%A function to compute the dual max variance vector using Kj
if (nargin ~= 4)
fprintf('%s\n', help(sprintf('%s', mfilename)));
error('Incorrect number of inputs - see above usage instructions.');
end
OPTS.disp = 0;
%OPTS.issym = true; %Think this one is true too
OPTS.isreal = true;
[b, lambda] = eigs(Kj, 1, 'LM', OPTS);
b = b/sqrt(lambda);
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