How can I calculate percentage of Euclidean distance?

Hello

I use this code to find the similarities between features by the Euclidean distance.

 function D= E_distance(n1, n2) 

 D  = sqrt(sum((n1 - n2) .^ 2));

 end

It will give me the distance between features, but I want to get the percentage where I can compare it to the threshold, how can I get it?

Answer 1

[OCDER]

Assuming you want similarity % as explained here, alter the equation as such : https://stats.stackexchange.com/questions/53068/euclidean-distance-score-and-similarity

   function S = E_similarity(n1, n2) 
     S  = 1/(1+sqrt(sum((n1 - n2) .^ 2)));
   end

   If S == 1 (or distance is 0), then two points are the same
   If S == 0 (or distance goes to infinite), then two points are very different

To use a cutoff of similarity, for instance 0.80, then you would so this

   SimCutoff = 0.8;
   if E_Similarity(n1, n2) <= SimCutoff
      disp('Exceed cutoff. Not similar enough')
   else
      disp('Similar enough')
   end

[wisam kh]

Thank you so much

It works wonderfully.

[OCDER]

You're welcome!