关键词: 收视率, 半模糊聚类, 支持向量机

Abstract: Audio rating is one of the most important indicators of TV industry, which is of great value to decision making of TV station. According to characters of more impact factors and complexity of variety, a new method of hyper-sphere Support Vector Machine（SVM） multi-class classification based on semi-fuzzy kernel clustering is proposed. The new method defines confusion classes based on semi-fuzzy kernel clustering and sphere support vector machines using the information from boundary so as to improve the performance of classifier efficiently. Experimental results indicate that the new method yields higher precision and speed than classical classification methods.

Key words: audio rating, semi-fuzzy cluster, Support Vector Machine（SVM）