kmeans

2 次查看（过去 30 天）
yoga z
yoga z 2012-4-30
编辑： Kawther 2014-11-30
Hi there,
how to write the plot if i use 4 cluster like this:
X = [randn(100,2)+ones(100,2);... randn(100,2)-ones(100,2)]; opts = statset('Display','final'); [idx,ctrs] = kmeans(X,4,... 'Distance','city',... 'Replicates',5,... 'Options',opts); plot(X(idx==1,1),X(idx==1,2),'r.','MarkerSize',12) hold on plot(X(idx==2,1),X(idx==2,2),'b.','MarkerSize',12) [plot ....] [plot ....]
thank you

请先登录，再回答此问题。

采纳的回答

Wayne King
Wayne King 2012-4-30
You do the same thing except:
plot(X(idx==1,1),X(idx==1,2),'r.','MarkerSize',10);
hold on
plot(X(idx==2,1),X(idx==2,2),'b.','MarkerSize',10);
plot(X(idx==3,1),X(idx==3,2),'g.','MarkerSize',10);
plot(X(idx==4,1),X(idx==4,2),'k.','MarkerSize',10);
  2 个评论
Isabella Osetinsky-Tzidaki
Isabella Osetinsky-Tzidaki 2012-4-30
add
>> hold off
yoga z
yoga z 2013-6-5
thank u very much for your answer

请先登录，再进行评论。

更多回答（1 个）

Kawther
Kawther 2014-11-30
编辑：Kawther 2014-11-30
Thank you Wayne King. I did get benefit from your code. i want to ask please about finding the bet error rate for such a code. How can i determine the decision regions, so that i can then find the bet error rate?
Can i consider the originally sent data as a training data and resend data again and consider it and a test data and use them to find the bet error rate?
Thank you very much. Kawther Hamad,

类别

在 Help Center 和 File Exchange 中查找有关 k-Means and k-Medoids Clustering 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by