Cloudera
DS-200 · Question #8
You have a large m x n data matrix M. You decide you want to perform dimension reduction/clustering on your data and have decide to use the singular value decomposition (SVD; also called principal…
The correct answer is C. The standard deviation of the data set. See the full explanation below for the reasoning.
Question
You have a large m x n data matrix M. You decide you want to perform dimension reduction/clustering on your data and have decide to use the singular value decomposition (SVD; also called principal components analysis PCA) You performed singular value decomposition (SVD; also called principal components analysis or PCA) on you data matrix but you did not center your data first. What does your first singular component describe?
Options
- AThe mean of the data set
- BThe variance of the data set
- CThe standard deviation of the data set
- DThe maximum of the data set
- EThe median of the data set
How the community answered
(23 responses)- B13% (3)
- C78% (18)
- D4% (1)
- E4% (1)
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