Glossary: Linear Algebra for ML
Projection
Also written: project onto the components, scores
Placing data on new axes by dotting each row with the chosen eigenvectors, like `Z @ vectors[:, :2]` in PCA. It gives each sample fewer coordinates.
Glossary: Linear Algebra for ML
Also written: project onto the components, scores
Placing data on new axes by dotting each row with the chosen eigenvectors, like `Z @ vectors[:, :2]` in PCA. It gives each sample fewer coordinates.