关键词: 结构化支持向量机, 结构粒度, 聚类技术, 结构化孪生支持向量机, 结构化非平行支持向量机

Abstract:

Structural Support Vector Machine（SSVM） is a variant algorithm of Support Vector Machine（SVM）, which is widely used in many fields. The development process of SSVM is elaborated, and the thoughts and advantages and disadvantages of various specific implementation algorithms of SSVM are analyzed in detail. And through the comparison and discussion of experiments, it is found that various specific implementation algorithms of SSVM are superior to other SVM algorithms in classification performance and classification efficiency, but inferior to the latter in stability. Based on this, the future research direction of SSVM is given.

Key words: structural support vector machine, structural granularity, clustering technology, structural twin support vector machine, structural nonparallel support vector machine