minhausdorff.m
来自「RBFMIP is a package for training multi-i」· M 代码 · 共 22 行
M
22 行
function distance=minHausdorff(Bag1,Bag2)
% minHausdorff Compute the minimum Hausdorff distance between two bags Bag1 and Bag2
% minHausdorff takes,
% Bag1 - one bag of instances
% Bag2 - the other bag of instanes
% and returns,
% distance - the minimum Hausdorff distance between Bag1 and Bag2
size1=size(Bag1);
size2=size(Bag2);
line_num1=size1(1);
line_num2=size2(1);
dist=zeros(line_num1,line_num2);
for i=1:line_num1
for j=1:line_num2
dist(i,j)=sqrt(sum((Bag1(i,:)-Bag2(j,:)).^2));
end
end
distance=min(min(dist));
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