# ITE / code / shared / embedded / ITL / d_ed.m

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27``` ```% The following function computes the Euclidean distance between two vectors X and Y. % % Input: Both X and Y should be COLUMN vectors of SAME dimensions (nxd) and (nxd). % 'kSize' is a scalar for the kernel size. % % Output: 'val' contains the Euclidean distance % % Default: kSize = 1. % % Comments: The code uses Incomplete Cholesky Decomposition. % % Author: Sohan Seth (sohan@cnel.ufl.edu) Date: 11.03.2008 function val = d_ed(X,Y,kSize) if nargin == 2 kSize = 1; end n = size(X,1); G = incompleteCholeskySigma([X;Y],kSize); OZ = [ones(n,1);zeros(n,1)]/n; ZO = [zeros(n,1);ones(n,1)]/n; val = (OZ'*G)*(G'*OZ) + (ZO'*G)*(G'*ZO) - 2*(ZO'*G)*(G'*OZ); % ~ Done ```
Tip: Filter by directory path e.g. /media app.js to search for public/media/app.js.
Tip: Use camelCasing e.g. ProjME to search for ProjectModifiedEvent.java.
Tip: Filter by extension type e.g. /repo .js to search for all .js files in the /repo directory.
Tip: Separate your search with spaces e.g. /ssh pom.xml to search for src/ssh/pom.xml.
Tip: Use ↑ and ↓ arrow keys to navigate and return to view the file.
Tip: You can also navigate files with Ctrl+j (next) and Ctrl+k (previous) and view the file with Ctrl+o.
Tip: You can also navigate files with Alt+j (next) and Alt+k (previous) and view the file with Alt+o.