Sorting a matrix by similarity
问题 I have 100 matrices in which each row corresponds to an individual and column refers to sites. I want to sort the row by a measure of similarity such that the most similar individuals are next to each other in a matrix. I used k-nearest neighbours to sort the matrices by rows and I give these sorted matrices to a convolutional neural network. I want to know if there are other measures by which I can achieve the task in hand. The code I use for k-nearest neighbour is: def sort_min_diff(amat):