Nearest neighbor ordering algorithms (hierarchical clustering, dendrograms) are well suited for sorting the items in either or both axes. If either axis relates directly to a physical dimension then it might be best to maintain that order in the matrix. A lot of the fun is in working out how to measure distance between items based on their values as that drives the results of the nearest neighbor order.