wehub-resource-sync
21 lines
498 B
Matlab
Executable File
21 lines
498 B
Matlab
Executable File
function [label, energy] = knKmeansPred(model, Xt)
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% Prediction for kernel kmeans clusterng
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% Input:
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% model: trained model structure
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% Xt: d x n testing data
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% Ouput:
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% label: 1 x n predict label
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% engery: optimization target value
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% Written by Mo Chen (sth4nth@gmail.com).
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X = model.X;
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t = model.label;
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kn = model.kn;
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n = size(X,2);
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k = max(t);
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E = sparse(t,1:n,1,k,n,n);
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E = E./sum(E,2);
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Z = E*kn(X,Xt)-dot(E*kn(X,X),E,2)/2;
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[val, label] = max(Z,[],1);
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energy = sum(kn(Xt))-2*sum(val);
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