树状图 关系图

Differences in algorithms

Principal component analysis: focuses on explaining the total variance of individual variables; factor analysis: focuses on explaining the covariance among variables.

Assuming different conditions

Different linear representation

Different explanatory focus

The basic principle of PCA is to use the idea of dimensionality reductionThe basic principle of FA is to express the factors as linear combinations that can be expressed as a few common factors and special factors that have an effect on only one variable

Different Principle

Different solving methods