2018-04-01week8quiz

5、Which of the following are recommended applications of PCA? Select all that apply.  选1和3

Data compression: Reduce the dimension of your data, so that it takes up less memory / disk space.

As a replacement for (or alternative to) linear regression: For most learning applications, PCA and linear regression give substantially similar results.

Data visualization: To take 2D data, and find a different way of plotting it in 2D (using k=2).

Data compression: Reduce the dimension of your input data , which will be used in a supervised learning algorithm (i.e., use PCA so that your supervised learning algorithm runs faster).