Question

How do you explain PCA?​

Answer 1

Answer:

#Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components.

Answer 2

Answer:

principle component anylis

Explanation:

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