Clustering Via Hedonic Games – by Gergely Csáji
Clustering Via Hedonic Games by Gergely Csáji In Artificial Intelligence, clustering is a fundamental task, where the goal is to discover hidden structures within data by grouping similar elements together. Traditional methods, such as k-means or DBSCAN, typically optimize these groups based on geometric distances or density. Cooperative game theory on the other hand, […]
