A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature. Although it is an unsupervised learning to ...

Notice of Retraction L. Li, J. Wang, and X. Li, “Efficiency analysis of machine learning intelligent investment based on K-means algorithm,” IEEE Access, vol. 8, pp. 147463–147470, 2020, doi: ...

The approach highlights the importance of data curation in self-supervised learning and suggests hierarchical k-means as a valuable alternative in various data-dependent tasks. Future work should ...

Embedded Machine Learning: Implementing k-means on Arduino can serve as an educational tool for learning about machine learning algorithms in embedded systems. It provides hands-on experience with ...

The k-means algorithm is a popular data clustering technique due to its speed and simplicity. However, it is susceptible to issues such as sensitivity to the chosen seeds, and inaccurate clusters due ...