%KNN classifiers,
%training is training set, testing is test set,
%D is thedistance, D=1 is mandistance; D=2 is 欧氏距离 D=3是 infinite norm
% K is the number of selected neighbors
function label=KNN2(training,testing,D,K)
[row, column]=size(training);
[row1,column1]=size(testing);
%计算测试集与训练集的距离
distance=[];
if D==1
for i=1:row1
for j=1:row
temp=[training(j,[1:(column-1)]);testing(i,:)];
d=mandist(temp);
distance(i,j)=d(1,2);
end
end
end
if D==2
for i=1:row1
for j=1:row
temp=[training(j,[1:(column-1)]);testing(i,:)]';
d=dist(temp);
distance(i,j)=d(1,2);
end
end
end
if D==3
for i=1:row1
for j=1:row
temp=[training(j,[1:(column-1)]);testing(i,:)];
d=max(abs(temp(1,:)-temp(2,:)));
distance(i,j)=d;
end
end
end
% 寻找k个近邻
label=[];
for i=1:row1
[a,b]=sort(distance(i,:));
neighbors=b(1:K)';
neighbors_D=training(neighbors,column);
[x,y]=sort(neighbors_D);
temp=find(diff(x)~=0);
nei_d=[x(1);x(temp+1)];
Num_D=[];
for j=1:length(nei_d)
num=length(find(neighbors_D==nei_d(j)));
Num_D=[Num_D,num];
end
[a,b]=max(Num_D);
label(i)=nei_d(b);
end
这是源程序
>> KNN2
错误使用 KNN2 (line 6)
输入参数的数目不足。
这是结果
以上是直接复制粘贴参考书里面的源程序。但是死活不正确。
求指教！！！
