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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 ...
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 ...
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.
Email and the files you store in Drive already counted against those 15 GB, but come June 1, all Docs, Sheets, Slides, Drawings, Forms or Jamboard files will count against the free storage as well.
Facebook says Spectrum has "improved reliability and quality of image uploads across [its] apps" and says the tool can reduce file sizes for up to 15 percent while maintaining their quality.
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 ...
Snappy is widely used in Google projects like Bigtable, MapReduce and in compressing data for Google's internal RPC systems. It can be used in open-source projects like MariaDB ColumnStore, [ 6] Cassandra, Couchbase, Hadoop, LevelDB, MongoDB, RocksDB, Lucene, Spark, InfluxDB, [ 7] and Ceph. [ 8] Firefox uses Snappy to compress data in ...
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 ...