文件:Reduced Singular Value Decompositions.svg.png

Visualization of Reduced SVD variants. From top to bottom: 1: Full SVD, 2: Thin SVD (remove columns of [math]\displaystyle{ U }[/math] not corresponding to rows of [math]\displaystyle{ V^* }[/math])), 3: Compact SVD (remove vanishing singular values and corresponding columns/rows in [math]\displaystyle{ U }[/math] and [math]\displaystyle{ V^* }[/math]), 4: Truncated SVD (keep only largest t singular values and corresponding columns/rows in [math]\displaystyle{ U }[/math] and [math]\displaystyle{ V^* }[/math])