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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. File:EUDR 2005-78.pdf - Wikipedia

    en.wikipedia.org/wiki/File:EUDR_2005-78.pdf

    Original file (1,239 × 1,752 pixels, file size: 100 KB, MIME type: application/pdf, 2 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  4. bzip2 - Wikipedia

    en.wikipedia.org/wiki/Bzip2

    bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm.It only compresses single files and is not a file archiver.It relies on separate external utilities for tasks such as handling multiple files, encryption, and archive-splitting.

  5. PDF24 Creator - Wikipedia

    en.wikipedia.org/wiki/PDF24_Creator

    After printing a document on the PDF printer, a wizard opens automatically, where the created PDF file can be edited or further worked on. The PDF24 Creator is also able to merge multiple documents to one PDF file and to extract pages. Compressing PDF files to shrink the file size is also possible.

  6. Smallpdf.com - Wikipedia

    en.wikipedia.org/wiki/Smallpdf.com

    The idea came from the need for their families to compress and send large documents via email. [5] The initial version of the site featured a standalone PDF compression tool. [6] Since then, the online platform has introduced over 16 PDF tools to convert, compress and edit PDF documents. [7]

  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. This process condenses extensive ...

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