Arguably, the main purpose of cluster analysis is to develop algorithms to reveal natural
groupings (clusterings) over a set of data points based on their similarity. On the other hand …

Clustering ensembles (CE) comprise a class of pattern recognition methods that take a set of
data clusterings (base partitions) as input and generate a consensus, better-quality partition …

An n-person cooperative oligopoly is considered without product differentiation. It is
assumed that the firms know the unit price function but have no access to the cost functions …

This paper considers a cooperative game in which the distance (or similarity) between some
objects (players) can be measured numerically. For this game, a characteristic function is …

В работе рассматриваетсÿ кооперативнаÿ игра, где игроками ÿвлÿютсÿ некоторые
объекты, длÿ которых можно численно измерить расстоÿние или сходство между ними …

Email communication is the exchange of messages between two or more people over the
internet using electronic devices. With billions of emails exchanged every day, extracting …

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 …

The paper considers the formation of a coalition structure from the point of view of a
cooperative game. Most works on the cooperative game theory do not consider how …

The problem of finding the $ k $ most critical nodes, referred to as the $ top\text {-} k $
problem, is a very important one in several contexts such as information diffusion and …

Data clustering considers the problem of grouping data into clusters based on its similarity
measure. It is one of the central problems for data analysis, with a wide applications to a …