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Compression Algorithms and Weissman Score
mind-matrix.github.io/blog/compression/Yapay zekadan makale özeti
- Basic Concepts
- Compression reduces data bit count by replacing repetitive patterns
- Data compression varies by type: lossy for images, lossless for text
- Richard Hendricks' Pied Piper algorithm achieved Weissman Score of 5.2
- Top Compression Algorithms
- BZIP2 offers better compression ratio but slower speed
- DEFLATE provides higher speed but lower compression ratio
- GZIP is most widely used for web apps with fastest speed
- ZLIB achieves higher compression by removing unnecessary headers
- Brotli is Google's new compression standard built from scratch
- Weissman Score
- Created by Stanford professor Weissman and student Misra
- Measures compression ratio and speed tradeoff between algorithms
- Alpha value of 1.0 or higher can result in negative scores
- Score is relative to standard compression tools