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Algorithm Implementation Process and Mathematical Model Construction for Factor Analysis

机译:因子分析的算法实现过程和数学模型构建

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Factor analysis is based on a statistical analysis method. It integrates the variables of intricate and complex relationships into a small number of factors, reproduces the relationship between original variables and factors, and realizes the interpretation of complex economic and social issues. Based on the basic principle of factor analysis, this paper studies the process of factor analysis algorithm, including constructing initial matrix, data normalization, calculating correlation matrix, calculating Eigen values, determining the number of factors, calculating factor loading matrix, establishing factor analysis model, and factor variable name explains; according to the algorithm process, the mathematical model of factor analysis is constructed. By pursuing the basic structure of variables, simplifying the system under study, reducing the number of variables, and using a few variables to interpret the complex issues under study.
机译:因子分析基于统计分析方法。它将复杂和复杂关系的变量集成到少数因素中,再现原始变量与因素之间的关系,并实现了复杂的经济和社会问题的解释。基于因子分析的基本原理,本文研究了因子分析算法的过程,包括构建初始矩阵,数据归一化,计算相关矩阵,计算特征值,确定因子的数量,计算因子加载矩阵,建立因子分析模型和因子变量名称解释;根据算法过程,构建了因子分析的数学模型。通过追求变量的基本结构,简化了研究的系统,减少了变量的数量,并使用几个变量来解释研究下的复杂问题。

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