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2. Wikipedia:Autosizing images - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Autosizing_images

   The available values for thumbnail size in Preferences (on the Appearance tab) are 120px, 150px, 180px, 200px, 220px (default), 250px, 300px, and 400px. As explained at Wikipedia:Extended image syntax § Size, upright=Factor will "adjust a thumbnail's size to Factor times the default thumbnail size, rounding the result to the nearest multiple of 10".

3. Dimensionality reduction - Wikipedia

   en.wikipedia.org/wiki/Dimensionality_reduction

   Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension.

4. Wikipedia : Featured picture criteria/Image size

   en.wikipedia.org/.../Image_size

   Compression of an image to reduce file size (in Kb) is usually "lossy" and is not advised for featured pictures. Image compression will reduce download times and save disk space, but it does so at the expense of fine detail and overall image quality. If in doubt, when saving JPEG files, always select the "maximum" quality setting.

5. Photo print sizes - Wikipedia

   en.wikipedia.org/wiki/Photo_print_sizes

   The alternative Super series, denoted SnR, nR Plus or nR+, has an aspect ratio of 3∶2 (or as close as possible) and thus provides a better fit for standard 135 film (35 mm) at sizes of 8 inches or above. 5R is twice the size of a 2R print, 6R twice the size of a 4R print and S8R twice the size of 6R. 4D/6D is a newer size for most consumer ...

6. Enlarge or reduce the font size on your web browser

   help.aol.com/articles/how-do-i-enlarge-or-reduce...

   Make web pages easy to read for you! With simple keyboard shortcuts, you can zoom in or out to make text larger or smaller. In an instant, these commands improve the readability of the content you're viewing.

7. Nonlinear dimensionality reduction - Wikipedia

   en.wikipedia.org/wiki/Nonlinear_dimensionality...

   By comparison, if principal component analysis, which is a linear dimensionality reduction algorithm, is used to reduce this same dataset into two dimensions, the resulting values are not so well organized. This demonstrates that the high-dimensional vectors (each representing a letter 'A') that sample this manifold vary in a non-linear manner.