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2. 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 ...

3. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Lossless compression. Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [ 1] By contrast, lossy compression permits reconstruction only ...

4. Lempel–Ziv–Welch - Wikipedia

   en.wikipedia.org/wiki/Lempel–Ziv–Welch

   Lempel–Ziv–Welch. Lempel–Ziv–Welch ( LZW) is a universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. It was published by Welch in 1984 as an improved implementation of the LZ78 algorithm published by Lempel and Ziv in 1978. The algorithm is simple to implement and has the potential for very ...

5. Reducing PDF file size with a Quartz filter - Engadget

   www.engadget.com/2007-12-12-reducing-pdf-file...

   Apple has an interesting video tip up this week on reducing the file size of graphic intensive PDFs created from the Print dialog. In their example they make a PDF from a Keynote presentation ...

6. How to edit, sign or convert a PDF - Engadget

   www.engadget.com/how-to-edit-a-pdf-143029261.html

   Just open the browser of your choice, go to Adobe’s site and either drag and drop or upload a PDF. Adobe will then convert it to a fully editable Microsoft Word document. The company’s free ...

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 ...