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high-dimensional-data Archives

Suppose you want to project high dimensional data into lower dimensions.

Suppose you want to project high dimensional data into lower dimensions. The two most famous dimensionality reduction algorithms used here are PCA and t-SNE. Let’s say you have applied both algorithms respectively on data “X” and you got the datasets “X_projected_PCA” , “X_projected_tSNE”.
Which of the following statements is true for “X_projected_PCA” & “X_projected_tSNE” ?
A) X_projected_PCA will have interpretation in the nearest neighbour space.
B) X_projected_tSNE will have interpretation in the nearest neighbour space.
C) Both will have interpretation in the nearest neighbour space.
D) None of them will have interpretation in the nearest neighbour space.