@article{f992508ab4e34f3dbbd7508f3894e96c,
title = "Distinguishing the Leading Agents in Classification Problems Using the Entropy-Based Metric",
abstract = "The paper addresses the problem of distinguishing the leading agents in the group. The problem is considered in the framework of classification problems, where the agents in the group select the items with respect to certain properties. The suggested method of distinguishing the leading agents utilizes the connectivity between the agents and the Rokhlin distance between the subgroups of the agents. The method is illustrated by numerical examples. The method can be useful in considering the division of labor in swarm dynamics and in the analysis of the data fusion in the tasks based on the wisdom of the crowd techniques.",
keywords = "Rokhlin metric, classification, entropy, leading agents",
author = "Evgeny Kagan and Irad Ben-Gal",
note = "Publisher Copyright: {\textcopyright} 2024 by the authors.",
year = "2024",
month = apr,
doi = "10.3390/e26040318",
language = "אנגלית",
volume = "26",
journal = "Entropy",
issn = "1099-4300",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "4",
}