Use individual kernel functions in Matlab's SVMtrain
显示 更早的评论
I got two questions concerning the use of the SVM function built into Matlab (2011a)
My ‚Training’ matrix consists of more than two columns, thus I’m dealing with a multidimensional problem. Can the quadprog (‚QP’) algorithm (Matlab Optimization toolbox is installed) deal with that?
And my second question concerns the use of individual kernel functions. I don’t get it to work, can you please help me to correct the code?
I use the following code to create a linear kernel for testing purpose (I know that it is already the standard, but this may be a good starting point):
SVMStruct = svmtrain(Training,Group,'autoscale',true,'method','QP','kernel_function',@kfun);
function K = kfun(U, V)
K = u*v;
回答（2 个）
Walter Roberson
2011-10-7
0 个投票
SVM in current versions of MATLAB is strictly limited to two class problems.
类别
在 帮助中心 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
