Eigenvectors, Eigenvalue, Data Science, Machine Learning, Matrix.
Analysis (LSA), 2. Used in Recommendation engines for SVD (Singular Value decomposition), 3. Used in Text Summarization, 4. Used in Feature selection and dimensionality reduction including PCA (Principal Component Analysis) 5. Used in Computer Vision including Image Segmentation, Face recognition,