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  2. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

  3. 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.

  4. File:National Security Study Memorandum 200.pdf - Wikipedia

    en.wikipedia.org/wiki/File:National_Security...

    Original file ‎ (1,275 × 1,650 pixels, file size: 462 KB, MIME type: application/pdf, 123 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  5. File size - Wikipedia

    en.wikipedia.org/wiki/File_size

    File size is a measure of how much data a computer file contains or, alternately, how much storage it consumes. Typically, file size is expressed in units of measurement based on the byte . By convention, file size units use either a metric prefix (as in megabyte and gigabyte ) or a binary prefix (as in mebibyte and gibibyte ).

  6. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. The different versions of the photo of the cat on ...

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.

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