This paper proposes a support vector machine based on kernel positivistic c-means algorithm (KPCM-SVM) to improve the noises and outliers sensitivity problem of SVM for data classification.

• 摘要提出一种基于核可能性c-均值算法的支持向量机分类算法，该算法改进了SVM训练过程中噪声和孤立点的敏感问题。