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2. List of archive formats - Wikipedia

   en.wikipedia.org/wiki/List_of_archive_formats

   The replacement for the .sit format that supports more compression methods, UNIX file permissions, long file names, very large files, more encryption options, data specific compressors (JPEG, Zip, PDF, 24-bit image, MP3). The free StuffIt Expander is available for Windows and OS X. .sqx SQX: Windows: Windows: Yes A royalty-free compressing format

3. GIF - Wikipedia

   en.wikipedia.org/wiki/GIF

   The Graphics Interchange Format (GIF; / ɡ ɪ f / GHIF or / dʒ ɪ f / JIF, see § Pronunciation) is a bitmap image format that was developed by a team at the online services provider CompuServe led by American computer scientist Steve Wilhite and released on June 15, 1987.

4. LZ77 and LZ78 - Wikipedia

   en.wikipedia.org/wiki/LZ77_and_LZ78

   Besides their academic influence, these algorithms formed the basis of several ubiquitous compression schemes, including GIF and the DEFLATE algorithm used in PNG and ZIP. They are both theoretically dictionary coders. LZ77 maintains a sliding window during compression.

5. compress (software) - Wikipedia

   en.wikipedia.org/wiki/Compress_(software)

   The GIF image format also incorporated LZW compression in this way, and Unisys later claimed royalties on implementations of GIF. Joseph M. Orost led the team and worked with Thomas et al. to create the 'final' (4.0) version of compress and published it as free software to the 'net.sources' USENET group in 1985.

6. List of file formats - Wikipedia

   en.wikipedia.org/wiki/List_of_file_formats

   CAB – A cabinet file is a library of compressed files stored as one file. Cabinet files are used to organize installation files that are copied to the user's system. [2] CPT, SEA – Compact Pro ; EGG – Alzip Egg Edition compressed file; EGT – EGT Universal Document also used to create compressed cabinet files, replaces .ecab

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 ...