摘要
首先对样本数据的影响因素进行logistic回归剔除绝大部分噪声因素,再通过降维和共线性诊断进一步筛选出影响因素中对实际结果有重要影响的指标以及共线性的指标,剔除无用和重复的类别,对清洗后的数据进行分析。最后进行了实例验证。
First the logistic regression is used to eliminate the noises from the important factors in sample data,and then the influential and collinear indexes in the factors are picked out with dimension reduction and collinear diagnosis to eliminate the useless and redundant data.The processed data are analyzed and verified with examples.
出处
《长春工业大学学报》
CAS
2016年第2期182-186,共5页
Journal of Changchun University of Technology
基金
福建省教育厅B类项目(JB13197)
