Open AccessData Mining using the Theory Cooperative Games in C-core to form clusters
Author(s) -
А. А. Егорова
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1392/1/012033
Subject(s) - core (optical fiber) , variety (cybernetics) , game theory , computer science , similarity (geometry) , function (biology) , extensive form game , game tree , differential game , tree (set theory) , non cooperative game , sequential game , mathematical economics , mathematics , artificial intelligence , mathematical optimization , combinatorics , telecommunications , evolutionary biology , image (mathematics) , biology
For data analysis, objects can be clustered in a variety of ways and methods. The tree of possible options appears. To make decisions, we use the methods of game theory. The game-theoretic model can be considered as a coalition game. The characteristic function is considered as a function that depends on the degree of similarity of objects. Thus, we will form clusters. The game is considered as a differential control game. To make a decision, we will form a highly dynamically stable solution in the C-core.