Conventionally, the k nearest-neighbor (kNN) classification is implemented with use of Euclidean distance-based measures, which are mainly one-to-one similarity relationships such as to lose connections between different samples. As a strategy alleviate this issue, coefficients coded by sparse representation have played role gauger for well. Although SR enjoy remarkable discrimination nature on...