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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)
  • B
    13% (3)
  • C
    78% (18)
  • D
    4% (1)
  • E
    4% (1)

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