R-squared problem in SVDD algorithm
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H = K;%The quadratic coefficient of the corresponding optimization problem
f = -diag(K);%The corresponding linear coefficient
Aeq = ones(1,n);%Equality constraints that need to be satisfiedAeq * alpha = beq
beq = 1;
lb = zeros(n,1);
C = 0.05;
ub = C * ones(n,1);
opts = optimoptions('quadprog', 'Algorithm', 'interior-point-convex', 'Display', 'off');
alpha = quadprog(H,f,[],[],Aeq,beq,lb,ub,[],opts);
Is there something wrong with my code for solving alpha? Why is the R-squared difference between some support vector points greater than 0 and less than C?
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Dyuman Joshi
2025-10-15
It's not clear what you want to do. As you can see, there are undefined variables in the code above.
It would be easier for us to understand and provide feedback/suggestions if you provided a description (in words not code) and a background of what you're trying to do/solve.
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2025-10-15
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