Yhteisentropiaa
Yhteisentropiaa, meaning "co-entropy" in Finnish, is a concept that explores the degree of shared information or similarity between two random variables. It is closely related to mutual information and entropy, fundamental measures in information theory. While entropy quantifies the uncertainty or randomness of a single random variable, and mutual information quantifies the amount of information one variable contains about another, yhteisentropiaa focuses on the common probabilistic structure.
Formally, yhteisentropiaa can be defined in terms of the entropies of the individual variables and their joint
This concept finds applications in various fields, including statistical analysis, pattern recognition, and machine learning. For