关键词: 模式分类, 核函数, 山峰函数, 模糊隶属函数, 分类集成

Abstract: In this paper,a novel kernel-based fuzzy multiple spheres classification algorithm is proposed.In the training process,all training samples of each class are covered by the constructed multiple spheres,each of which encompasses as many samples with the same class and has the minimum volume,and a fuzzy membership function is defined to label the testing samples in the classification process.Moreover,an ensemble method based on the proposed classification algorithm is presented.Finally,experiments on four real datasets show that our approach is valid and has encouraging pattern classification performance.

Key words: pattern classification, kernel function, mountain function, fuzzy membership function, classification ensemble