About: Information Entropy

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An Entity of Type : http://qudt.org/schema/qudt/QuantityKind, within Data Space : foodie-cloud.org, foodie-cloud.org associated with source document(s)

Attributes	Values
type	Quantity Kind
label	Information Entropy (en)
isDefinedBy	QUDT Quantity Kind Vocabulary Version 2.1.29
has broader	Dimensionless
http://qudt.org/sc...dt/applicableUnit	Ban Bit Byte Erlang ExaByte ExbiByte GibiByte GigaByte Hartley KibiByte Kilo Byte Mebibyte Mega byte Nat PebiByte PetaByte Shannon TebiByte TeraByte
http://qudt.org/sc...asDimensionVector	http://qudt.org/vocab/dimensionvector/A0E0L0I0M0H0T0D1
http://qudt.org/sc...ormativeReference	http://simple.wikipedia.org/wiki/Information_entropy
http://qudt.org/sc...inTextDescription	Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning.
is has broader of	Shannon Diversity Index

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