We'll email you a link to choose a new one.
Privacy·Terms & disclaimer
Confu
Understand it deeply, not just skim it.
D1 · p. 12
PCA keeps the directions of greatest variance in the data, ordered by how much they explain.
Tutor
Think of each eigenvector as an axis the data stretches along. The bigger its eigenvalue, the more of the spread it captures D1 p. 12.
Quick check: why centre the data first?
Linear algebra
68% correct · weak: eigenvectors
Free to start · Pro in early access · Your notes stay yours