摘要
针对就业人员平均工资作分析研究,分析了传统类平均聚类分析法分类层次问题,通过不一致系数最终确定了分类层次,提出神经网络模型进行聚类分析,运用MATLAB工具箱,给出了分类层次和优劣判断方法。两种算法后者更加符合宏观实际,为解决同等问题提供了有效参考。
Average wage for employment has made the analysis and research, analyzes the traditional class average classification hierarchy clustering analysis problem, through the inconsistency coefficient finally determines the classification level, put forward neural network model for clustering analysis, using MATLAB toolbox, classification level and quality judgment method is given. Two algorithms which more accords with the practice of the macro, provides effective reference for solving the same problems.
出处
《自动化与仪器仪表》
2017年第7期28-30,共3页
Automation & Instrumentation
基金
教育部中国教师发展基金会教师科研专项基金"十二五"规划重点课题(CGF120782)
2013年甘肃省教育厅高等学校科研项目(2013B-107)