左边为线性回归的原理 右边为PCA
| Linear Regression | PCA |
|---|---|
| taking all the values of x and try to use that to predict y. | there is no special variable y that we're trying to predict |
| have a list of features, x1, x2,..., xn, and all of these features are treated equally, so no one of them is special. | |
| drawing these blue lines vertically | tries to minimize the magnitude of these blue lines, which are drawn at an angle. the shortest orthogonal distances. The shortest distance between the point x and this red line. |
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