In the Kmeans cluster segmentation used in traffic scenes, there are often zone optimization and over-segmentation problems caused by the algorithm randomly assigning the initial cluster center. In order to improve the target extraction effect in traffic road scenes, this article proposes an improved Kmeans (IM-Kmeans) method.The simulation and experimental comparisons show that the IM-Kmeans algorithm has higher clustering accuracy than the traditional Kmeans algorithm.
Improved Kmeans Algorithm for Detection in Traffic Scenarios
Sae Technical Papers
Automotive Technical Papers ; 2019
2019-06-17
Conference paper
English
Road network partitioning method based on Canopy-Kmeans clustering algorithm
DOAJ | 2020
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