Euclidean Distance Vectorization Problem MNIST [MATLAB]

Question

I am trying to calculate Euclidean Distance for MNIST data set. X_Train = 60,000*784 and X_Test = 10,000*784 D= No. of Columns, M= rows of training set and N = rows of test set I've done X_test_sq = sum(X_test(:,1:784),2) and same for training set and I get 10,000*1 and 60,000*1 vectors. But I don't understand what XtestSqrR means and shouldn't X_cross be dot product? JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

Answer 1

XtestSqrR is the sum squared distance (with respect to the origin of 0,0,...,0). The distance along each dimension is: sum( X(:,d).^2 ) (square first then sum); then you can sum across dimensions (d goes from 1 to 60,000). Also I think the x means matrix multiplication, not cross product. So a matrix of 60,000*784 multiplied by a matrix of (784*10,000), would be 60,000*10,000.