2018-04-01week8quiz
2018-04-01 本文已影响0人
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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).
