A novel method for extracting discriminant features by using kernel methods, kernel optimal transformation and cluster centers algorithm (KOT-CC), is presented.

• 基于统计学习理论的核化原理，提出一种新的鉴别特征提取方法-核最优变换与聚类中心算法。