as expectedfaces that have high coefficient for component are faces looking to the right (figure - )while faces with high coefficient for component are looking to the left (figure - as mentioned earlierextracting patterns like these works best for data with additive structureincluding audiogene expressionand text data let' walk through one example on synthetic data to see what this might look like let' say we are interested in signal that is combination of three different sources (figure - )in[ ] mglearn datasets make_signals(plt figure(figsize=( )plt plot( '-'plt xlabel("time"plt ylabel("signal"figure - original signal sources dimensionality reductionfeature extractionand manifold learning