In the course of the study of pract

In the course of the study of practical problems, more relevant variables will be collected, so we hope to solve the problem There is a more comprehensive and complete understanding. on the other hand, too many variables increase the workload of the data acquisition, And the correlation between data also makes it difficult to define the degree of influence of each variable on things. the best way to do this is to Yes, not only can reduce the index of the analysis, but also can not cause a large amount of loss of the information. The factor analysis method is to use the thought of dimension reduction In order to find the logical relation between the data by studying the internal dependency of the correlation coefficient matrix among the variables, we will find the logical relation between the data. The variables with higher correlation are classified as the same group, while the correlation between different groups is ensured to be low. And one group is one. the comprehensive factor, which is finally classified into a few comprehensive factors, replaces the original variable with a few comprehensive factors, So as to analyze and solve the problem.