Application of k nearest neighbor data mining algorithm in vehicle allocation decision

Weiliang Kong

doi:10.1117/12.2659712

30 November 2022 Application of k nearest neighbor data mining algorithm in vehicle allocation decision

Weiliang Kong

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 1245607 (2022) https://doi.org/10.1117/12.2659712
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

In a short time, how to use scientific and technological means to complete the allocation of vehicles in the implementation of tasks is of great significance to improve the decision-making ability of personnel equipped with vehicles. Based on KNN algorithm, python related tools are used to calculate, classify and visualize 25 test samples after processing. Finally, according to the Euclidean distance between the test sample and the nearest neighbor sample, it is concluded that the vehicle selection of sample 26 is ' selection ', which provides a more scientific auxiliary decision method for the rapid decision of vehicle selection and allocation, and has certain reference value.

Citation Download Citation

Weiliang Kong "Application of k nearest neighbor data mining algorithm in vehicle allocation decision", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 1245607 (30 November 2022); https://doi.org/10.1117/12.2659712

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