I need to calculate the euclidean distance between 2 matrices in matlab. Currently I am using bsxfun and calculating the distance as below( i am attaching a snippet of the code ):
Please consider: daList = {{{21, 18}, {20, 18}, {18, 17}, {20, 15}}, {{21, 18}, {20, 18}, {21, 14}, {21, 14}}};
z - matrix of doubles, size Nx2; x - matrix of doubles, size Nx2; sup = x(i, :); phi(1, i) = {@(z) exp(-g * sum((z - sup(ones([size(z, 1) 1]),:)) .^ 2, 2))};
I\'m given m places (x,y coordinates). I have n requests of finding the closest place to a given point P(x,y); (The minimum Euclidian distance)
SIFT feature matching is done through a Euclidean-distance based nearest neighbor approach. Can som开发者_如何学Goe please explain this? Is there a calculation? If then can someone help me to calculat
I have some problem understanding euclidean distance. I have two different entities and I want to measure the similarity between these entities.
Is there an algorithm that gives me coordinates of vertices in a graph, when I give him a weighted graph and the edge weights between vertices points to the distance between vertices?
It seems like the answer to this should be simple, but I am stumped.I have a matrix of Nx3 matrix where there 1st 2nd and 3rd columns are the X Yand Z coordinates of the nth item.I want to calculate t
I have a collection of n dimensional points and I want to find which 2 are the closest. The best I could come up for 2 dimensions is:
I have a small question about vector and matrix. Suppose a vector V = {v1, v2, ..., vn}. I generate a n-by-n distance matrix M define开发者_如何学Cd as:
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