How to compute the Euclidean Distance separately by using pdist function?

Question

Zhida DENG 2017-11-19

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/367941-how-to-compute-the-euclidean-distance-separately-by-using-pdist-function

评论： Zhida DENG 2017-11-19

Hi everyone, I got a question when using pdist, it would be so many thanks if you could give me some advice. The pdist(D) usually gives the sum of the distance for the multiple dimension, however, I want to get the distance separately. For example I have a data set S which is a 10*2 matrix , I am using pdist(S(:,1)) and pdist(S(:,2)) to get the distance separately, but this seems very inefficient when the data has many dimensions. Is there any alternative way to achieve this more efficient? Thanks in advance!

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Image Analyst 2017-11-19

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/367941-how-to-compute-the-euclidean-distance-separately-by-using-pdist-function#answer_291973

在 MATLAB Online 中打开

Use pdist2():

allDistances = pdist2(S, S);

1 个评论
显示 -1更早的评论隐藏 -1更早的评论

Zhida DENG 2017-11-19

Thank you! but this has same results with squareform(pdist(S)) which are not I wanted. I am seeking the results of S(1,1) - S(2,1) and S (2,1) -S(2,2) separately.

请先登录，再进行评论。