Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm

By Na Shi, Xumin Liu, Yong Guan. 2010 Third International Symposium on Intelligent Information Technology and Security Informatics, 2010

775 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/024abd649e2393e57951e9eaadee8372cc054658

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Abdallah Moubayed
2. Li Yang
3. Abdallah Shami
4. Joaquim R. Martins
5. Ji-chao Li
6. Xiaosong Du
7. Gaetan K. W. Kenway

In Information Systems

1. Joaquim R. Martins
2. Ji-chao Li
3. Li Yang
4. Abdallah Shami
5. Abdallah Moubayed
6. Xiaosong Du

In Signal Processing

1. Joaquim R. Martins
2. Ji-chao Li
3. Li Yang
4. Abdallah Shami
5. Abdallah Moubayed
6. Xiaosong Du

Citations in the corpus

• MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles (2021, methodology): “Among all clustering algorithms, k-means is the most common one for data sampling due to its simple implementation and low computational complexity [42].”
• Machine Learning in Aerodynamic Shape Optimization (2022, methodology): “k-means The k-means algorithm searches for a user-defined number of clusters within a multidimensional unlabeled data set [190, 191].”