PCA

Principal Component Analysis (PCA) is a “frequent visitor” in the field of data analysis, much like Zhuge Liang from the Three Kingdoms period, who always skillfully arranges troops on the “battlefield” of data, simplifying complexity. Its core idea is to project the original data onto a new coordinate system through linear transformation, maximizing the variance … Read more