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New posts in principal-component-analysis
Why eigenvectors with the highest eigenvalues maximize the variance in PCA?
linear-algebra
eigenvalues-eigenvectors
linear-transformations
machine-learning
principal-component-analysis
Connection between PCA and linear regression
matrices
statistics
statistical-inference
regression
principal-component-analysis
Why is SVD on $X$ preferred to eigendecomposition of $XX^\top$ in PCA?
linear-algebra
matrices
numerical-linear-algebra
svd
principal-component-analysis
How do you measure the 'explained variance' of arbitrary linear embeddings?
statistics
variance
principal-component-analysis
What is the intuitive relationship between SVD and PCA?
linear-algebra
matrices
statistics
svd
principal-component-analysis
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