Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
the most, while the eigenvalues represent the amount of variation along each eigenvector. Step 4. Choose the principal components which are the eigenvectors with the highest eigenvalues. These components represent the directions in which the data varies the most. Step 5. Transform the original data