KNN的matlab簡單實現代碼

來源:互聯網
上載者:User
function target=KNN(in,out,test,k)
% in:       training samples data,n*d matrix
% out:      training samples' class label,n*1
% test:     testing data
% target:   class label given by knn
% k:        the number of neighbors
ClassLabel=unique(out);
c=length(ClassLabel);
n=size(in,1);
% target=zeros(size(test,1),1);
dist=zeros(size(in,1),1);
for j=1:size(test,1)
    cnt=zeros(c,1);
    for i=1:n
        dist(i)=norm(in(i,:)-test(j,:));
    end
    [d,index]=sort(dist);
    for i=1:k
        ind=find(ClassLabel==out(index(i)));
        cnt(ind)=cnt(ind)+1;
    end
    [m,ind]=max(cnt);
    target(j)=ClassLabel(ind);
end

聯繫我們

該頁面正文內容均來源於網絡整理,並不代表阿里雲官方的觀點,該頁面所提到的產品和服務也與阿里云無關,如果該頁面內容對您造成了困擾,歡迎寫郵件給我們,收到郵件我們將在5個工作日內處理。

如果您發現本社區中有涉嫌抄襲的內容,歡迎發送郵件至: info-contact@alibabacloud.com 進行舉報並提供相關證據,工作人員會在 5 個工作天內聯絡您,一經查實,本站將立刻刪除涉嫌侵權內容。

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.