基于函数型数据理论的从业人口情况分类研究

发布时间：2018-03-02 01:32

本文关键词： 函数型数据导函数区间聚类分析　出处：《东北师范大学》2010年硕士论文　论文类型：学位论文

【摘要】： 实际生活中,越来越多领域中样本的观测数据具有函数型的特征,需要从函数视角进行分析.在此基础上,与传统分析方法相比较,函数型数据分析较少依赖假设条件,并且它的一个重要特征是可以求出导函数曲线,从中可以挖掘出更多的信息. 本文基于函数型数据的理论,总结了这类数据的基本特征和分析步骤,总结了函数型数据的聚类方法,分析了各自的优缺点,并对基于轨迹模式的聚类方法进行了部分改进.最后将这些方法应用于广东省21个地级市的从业人口数据的聚类分析中,分析的结果对国家经济决策的制定具有一定的指导意义.
[Abstract]:In real life, the observed data in more and more fields have the characteristic of functional type, which need to be analyzed from the perspective of function. On this basis, compared with the traditional analysis method, the analysis of functional data is less dependent on hypothetical conditions. And one of its important features is that the derivative curve can be obtained and more information can be mined from it. Based on the theory of functional data, this paper summarizes the basic characteristics and analysis steps of this kind of data, summarizes the clustering method of functional data, and analyzes their advantages and disadvantages. Finally, these methods are applied to the cluster analysis of working population data of 21 cities in Guangdong Province. The results of the analysis have certain guiding significance for the formulation of national economic decision-making.
【学位授予单位】：东北师范大学
【学位级别】：硕士
【学位授予年份】：2010
【分类号】：F224;C924.2

【参考文献】