关键词: 主成分分析, 特征空间分离变换, 支持向量机, 肿瘤分类

Abstract: This paper introduces the techniques and methods in breast tumor classification，presents a new method of breast cancer diagnosis based on eigenspace separation transform and support vetor machine.Classification experiments are conducted using sample set provided by UCI database with 569 cases of breast tumor cell each with 30 features.The results indicate that the accurate recognition rate of breast cancer is 98.3%.The new method is obviously superior to conventional methods.

Key words: principal componnet analysis, eigenspace separation transform, support vector machine, tumor classification