N.Tabbal
N.Tabbal

Reputation: 11

Projecting a vector in the new pca space in python?

I have conducted in Python a principal component analysis (pca) on a data and extracted the components. The original data has 3000 observations and 33 variables and now was reduced to 3000 and 16 components.

I have now an additional one observation X that has one entry for each 33 variables. I want to project this variable X that has 33 coordinates to get its coordinates in the 16 components space. So it should have now 16 coordinates.

Do I apply the following code: X*pca.components_.T

Note that the shape of pca.components_.T is 33 x 16.

X*pca.components_.T would return a vector of length 16

Upvotes: 0

Views: 15

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