基于离散度量的半监督分类算法

半监督分类算法试图根据已知样本对特定的未知样本建立一套进行识别的方法和准则。渐进直推式分类学习算法是一种基于SVM的半监督分类学习方法,在基于渐进直推式分类学习算法的基础上,利用Fisher准则中的样本离散度作为度量标准,采用Fisher准则函数作为评价函数,提出了一种基于离散度量和SVM相结合的半监督分类算法,在时间复杂度和样本测试精度上较PTSVM算法都取得了良好的学习效果。

Semi-supervised classification algorithm based on separation degree

Semi-supervised classification algorithm attempts to establish a set of recognition methods and criteria for specific un- known samples based on known samples.PTSVM(Progressive Transductive Support Vector Machine) is a semi-supervised classifi- cation algorithm based on SVM.In this paper,a semi-supervised classification algorithm based on the combination of the separa- tion degree and support vector machine is devised,which uses the separation degree in Fisher criteria as metric and Fisher crite- ria as eva...