information entropy
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information entropy
Summary
information entropy is a mathematical expression[1]. It ranks in the top 10% of mathematical_expression entities by monthly Wikipedia readership (1,991 views/month).[2]
Key Facts
- information entropy is credited with the discovery of Claude Shannon[3].
- information entropy's instance of is recorded as mathematical expression[4].
- information entropy's instance of is recorded as mathematical concept[5].
- information entropy's GND ID is recorded as 4743861-7[6].
- information entropy's Library of Congress authority ID is recorded as sh85044152[7].
- information entropy's Bibliothèque nationale de France ID is recorded as 11985913j[8].
- information entropy's subclass of is recorded as information content[9].
- information entropy's subclass of is recorded as physical quantity[10].
- information entropy's NDL Authority ID is recorded as 01191172[11].
- information entropy's Commons category is recorded as Entropy and information[12].
- information entropy's opposite of is recorded as negentropy[13].
- information entropy's Freebase ID is recorded as /m/03zhv[14].
- information entropy's NL CR AUT ID is recorded as ph425914[15].
- information entropy's topic's main category is recorded as Category:Entropy and information[16].
- information entropy's National Library of Spain SpMaBN ID is recorded as XX535116[17].
- information entropy's Library of Congress Classification is recorded as Wikiversity[18].
- information entropy's facet of is recorded as information[19].
- information entropy's described by source is recorded as IEC 80000-13:2008 Quantities and units — Part 13: Information science and technology[20].
- information entropy's Encyclopædia Britannica Online ID is recorded as topic/entropy-information-theory[21].
- information entropy's Encyclopædia Britannica Online ID is recorded as topic/Shannons-entropy[22].
- information entropy's main Wikidata property is recorded as P10746[23].
- information entropy's different from is recorded as negentropy[24].
- information entropy's different from is recorded as data size[25].
- information entropy's FAST ID is recorded as 912828[26].
- information entropy's defining formula is recorded as H(X) = \sum_{i = 1}^{n} p(x_i) I(x_i)[27].
Body
Works and Contributions
information entropy is credited with the discovery of Claude Shannon[3].
Why It Matters
information entropy ranks in the top 10% of mathematical_expression entities by monthly Wikipedia readership (1,991 views/month).[2] It has Wikipedia articles in 27 language editions, a strong signal of global cultural recognition.[28] It is known by 47 alternative names across languages and contexts.[29]