期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5901-5904
出版社：TechScience Publications
摘要：Breast Cancer is the most dreadful disease in women which is leading to death. The medical data classification is acquiring lot of importance before the diagnosis of the disease. Few authors have worked in the field of Breast Cancer classification using standard SVM techniques. In this proposed work, the Breast cancer classification is done using RBF and polynomial Kernel functions of Support Vector Machines with different values of RBF_Sigma, Box Constraint and polyorder arguments which lead to high classification accuracy compared to the previous Results.
