Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects the ...
Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...
Image compression is an essential technique for efficient transmission and storage of images. The demands for transmission and storage of multimedia data are increasing exponentially. A gray scale ...
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