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2. PAQ - Wikipedia

   en.wikipedia.org/wiki/PAQ

   A compression format that featured PAQ8PX v42 to v65 and that now can use PAQ8PF, PAQ8KX, or PAQ8PXPRE as the default UCA Compressor. In addition, PerfectCompress can compress files to PAQ8PX v42 to v67, and ZPAQ, and as of version 6.0, can compress files to LPAQ and PAQ8PF beta 1 to beta 3.

3. 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 ...

4. List of archive formats - Wikipedia

   en.wikipedia.org/wiki/List_of_archive_formats

   Genozip, a compressor for genomic file formats such as FASTQ, BAM, VCF and others. [4].gz application/gzip [5] gzip: Unix-like GNU Zip, the primary compression format used by Unix-like systems. The compression algorithm is Deflate, which combines LZSS with Huffman coding. .lz application/x-lzip lzip: Unix-like

5. 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 such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.

6. KGB Archiver - Wikipedia

   en.wikipedia.org/wiki/KGB_Archiver

   Written in Visual C++ by Tomasz Pawlak, KGB Archiver is designed to achieve a very high compression ratio. It has ten levels of compression, from very weak to maximum. However, at higher compression levels, the time required to compress a file increases significantly. [3] As a consequence, the program uses memory and CPU intensively.

7. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...