Chessboard , Euclidean and City Block distance simplest codes(functions) for all order of matrix that i can understand as i am student and at start of this language.

Chessboard , Euclidean and City Block distance simplest codes(functions) for all order of matrix that i can understand as i am student and at start of this language. its request to make a function for these distances in matlab

Answer 1

[Jon]

Please give it a try, just get started see what problems you have and where you are stuck, and then ask about these issues.

Just to get you started, if for example you had two points in an n dimensional space you could define the coordinates of those two points with a vector x1 and another x2 as MATLAB variables, each one would be an n row by 1 column matrix (i.e. a length n vector). To compute the Euclidean distance between them you could just evaluate:

dist = sqrt( (x2 - x1).^2) % note .^2 gives element by element square

For example for the familiar 3 dimensional case

x1 = [ 2;3;8]; % column vector defining point with coordinates 2,3,8
x2 = [-2; 9; 7]; % column vector defining point with coordinate -2,9,7
% compute distance
dist = sqrt(sum((x2 - x1).^2))

Answer 2

[Image Analyst]

There is a function bwdist() that computes distances of different definitions. What data are you starting with? Like two (x,y) points? Or something else?