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

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Zhida DENG
Zhida DENG on 19 Nov 2017
Commented: Zhida DENG on 19 Nov 2017
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!

Answers (1)

Image Analyst
Image Analyst on 19 Nov 2017
Use pdist2():
allDistances = pdist2(S, S);
  1 Comment
Zhida DENG
Zhida DENG on 19 Nov 2017
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.

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