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Question 1 of 4
1. Question
How can we take a high dimensional data set and reduce the number of variables while simultaneously preserving the true structure as best as possible?
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Question 2 of 4
2. Question
An example of dimensionality reduction would be:
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Question 3 of 4
3. Question
True or False: PCA finds the axes in the data that explain the least variance.
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Question 4 of 4
4. Question
The next axis should be …
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