Abstract: Kernel nearest neighbor convex hull （KNNCH） classifier involves solving convex quadratic programming problems, which requires large memory and long computation time for large-scale problem. Therefore, it is important for KNNCH classifier to reduce the com

Key words: Samples selection, Convex hull, Kernel nearest neighbor convex hull, Kernel subclass convex hull sample selection, Pattern classification, Face recognition