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...
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 |
Similar Items
-
Approval voting /
by: 186826 Brams, Steven J., et al.
Published: (2007) -
Egalitarian vs. proportional voting in various contexts: An experimental study
by: Girts Dimdins, et al.
Published: (2010-12-01) -
Election theory: Alternative voting methods in the Pennsylvania 2022 Senate election.
by: Justine Sullivan
Published: (2023-08-01) -
Unsupervised Change Detection Using Fuzzy Topology-Based Majority Voting
by: Pan Shao, et al.
Published: (2021-08-01) -
Non-Commutative Logic for Collective Decision-Making with Perception Bias
by: Evgeny Kagan, et al.
Published: (2023-05-01)