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Exam AIP-210 Topic 6 Question 84 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 84
Topic #: 6
Which of the following metrics is being captured when performing principal component analysis?

Suggested Answer: D Vote an answer

Explanation
Principal component analysis (PCA) is a technique that reduces the dimensionality of a dataset by transforming it into a set of new variables called principal components. The principal components are linear combinations of the original variables that capture the maximum amount of variance in the data. The first principal component explains the most variance, the second principal component explains the second most variance, and so on. The goal of PCA is to retain as much variance as possible while reducing the number of variables.

by Florence at Dec 26, 2024, 04:18 PM

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