Improving the Accuracy and Efficiency of the k-means Clustering Algorithm

By K. A. Abdul Nazeer, M. Sebastian. 2009

438 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5f55f027b6f0d83acf39ebaf9b8916d8d0eb0840

How researchers see this paper

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

1. Jiaqing Kou
2. Weiwei Zhang
3. Yong Guan
4. Xumin Liu
5. Yilang Liu
6. Na Shi
7. Linyang Zhu
8. Ji-chao Li

Citations in the corpus

• Machine learning methods for turbulence modeling in subsonic flows around airfoils (2018, methodology): “ value. Clustering is a method used to divide the dataset into several disjoint subsets. There are various clustering methods and the distance calculating formula is dependent on the specific problem [37, 38, 39, 40]. For less similarity between the model centers, the K-means clustering in [41] was ”
• Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm (2010, background): “The precise value of t varies depending on the initial starting cluster centers [8].”