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To clarify your point, we need to distinguish between pruning dimensions and projecting onto a k < N set of new orthogonal dimensions. The name of PCA does make
by wrp 3y ago
To clarify your point, we need to distinguish between pruning dimensions and projecting onto a k < N set of new orthogonal dimensions. The name of PCA does make it sound like you are selecting dimensions.
- jackthetab 3y ago> The name of PCA does make it sound like you are selecting dimensions. I certainly thought that! Using somes terms from the previous comment, does this mean that the k < N subspace is not (necessarily) a subset of the N-space? Or is the subspace a subset of the data with a different coordinate system? (Yes, I'm still trying to intuitively grasp these ideas.)