Title
Exploring the Role of Multi-Agent Systems in Improving K-Means Clustering Method
Abstract
Clustering algorithms are attracting much application interest due to the significant growth in the rate of data generation. However, the high computational complexity of the existing clustering algorithms has rendered them ineffective in several ways. Therefore, this study proposes a novel parallel clustering algorithm that integrates Multi-Agent Systems (MAS) with the K-means algorithm; hence, t...
Year
DOI
Venue
2021
10.1109/ISAMSR53229.2021.9567893
2021 4th International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR)
Keywords
DocType
ISBN
K-means algorithm,clustering,decision-making,software agent,multi-agent system
Conference
978-1-6654-3632-8
Citations 
PageRank 
References 
0
0.34
0
Authors
6