The K-means algorithm is usually widely used in cluster analysis, but it is easily disturbed when dealing with data containing outliers. The Trimmed K-Means algorithm improves the accuracy of ...

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