Measure of disorder or randomness.

In information theory, an entropy coding (or entropy encoding) is any lossless data compression method that attempts to approach the lower bound declared by Shannon's source coding theorem, which states that any lossless data compression method must have an expected code length greater than or equal to the entropy of the source.

(information theory) The portion of a random variable's own Shannon entropy which is independent from another, given, random variable.

information entropy

(information theory) A measure of the uncertainty associated with a random variable; a measure of the average information content one is missing when one does not know the value of the random variable (usually in units such as bits); the amount of information (measured in, say, bits) contained per average instance of a character in a stream of characters.

Measure of disorder or randomness.

Measure of molecular structure variability.

(information theory) The Shannon entropy of a "script" whose "characters" are elements of the Cartesian product of the sets of characters of the component scripts.