Unsupervised Classification by Iterative Voting

In the paper we present a simple algorithm for unsupervised classification of given items by a group of agents. The purpose of the algorithm is to provide fast and computationally light solutions of classification tasks by the randomly chosen agents. The algorithm follows basic techniques of plurali...

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Bibliographic Details
Main Authors: Evgeny Kagan, Alexander Novoselsky
Format: Article
Language:English
Published: Tsinghua University Press 2023-06-01
Series:International Journal of Crowd Science
Subjects:
Online Access:https://www.sciopen.com/article/10.26599/IJCS.2022.9100037