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Kernel Discriminant Analysis

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In paper [2], we present an efficientapproach

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Examples:
%
% fea = rand(50,70);
% gnd = [ones(10,1);ones(15,1)*2;ones(10,1)*3;ones(15,1)*4];
% options.KernelType = 'Gaussian';
% options.t = 1;
% [eigvector, eigvalue] = KDA(gnd, options, fea);
%
% feaTest = rand(3,10);
% Ktest = constructKernel(feaTest,fea,options)
% Y = Ktest*eigvector;

Comments and Ratings (4)

qiang zhang

error happened:

Undefined function 'constructKernel' for input arguments of type 'struct'.

Error in KDA (line 104)
    [K, elapse.timeK] = constructKernel(data,[],options);

nirai selvi

Akshay Gore

Akshay Gore (view profile)

error at runtime

Undefined function 'constructKernel' for input arguments of type 'double'.

Error in KDA (line 104)
    [K, elapse.timeK] = constructKernel(data,[],options);

Zhiliang Liu

cannot be run alone.

MATLAB Release
MATLAB 7.10 (R2010a)
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