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The notation $D = 2$ -> D' = 1 means reducing a two-dimensional dataset to one dimension. It frames PCA as a method for compressing a two-dimensional description of data into a one-dimensional summary while keeping the most important directions of variation.

Conditions: The displayed example uses a two-dimensional dataset.; The target reduced dimension shown is one.

The notation $D = 2$ -> D' = 1 means reducing a two-dimensional dataset to one dimension. It frames PCA as a method for compressing a two-dimensional description of data into a one-dimensional summary while keeping the most important directions of variation.

Conditions: The displayed example uses a two-dimensional dataset.; The target reduced dimension shown is one.