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基于聚类分析算法的智能旅游路线规划方案分析。

Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm.

机构信息

Zhengzhou College of Finance and Economics, Zhengzhou, Henan 450000, China.

出版信息

Comput Intell Neurosci. 2022 Jun 28;2022:3310676. doi: 10.1155/2022/3310676. eCollection 2022.

Abstract

In view of the problems of the traditional cluster analysis algorithm such as strong dependence on the initial cluster center, the traditional -means cluster analysis algorithm is improved and the experiment proves that the improved algorithm has a better clustering effect; in view of the problems of the traditional tourism route planning, the improved -means cluster analysis algorithm is applied to the intelligent tourism route planning scheme design and an intelligent tourism planning scheme based on the cluster analysis algorithm is proposed; the tourists' preference metric is fully considered, and the experimental results show that the scheme has certain reasonableness and reference value.

摘要

针对传统聚类分析算法对初始聚类中心依赖性强等问题,对传统的均值聚类分析算法进行了改进,实验证明改进后的算法聚类效果更好;针对传统旅游路线规划存在的问题,将改进的均值聚类分析算法应用于智能旅游路线规划方案设计,提出了一种基于聚类分析算法的智能旅游规划方案;充分考虑了游客的偏好度量,实验结果表明该方案具有一定的合理性和参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75fc/9256382/a340593d4fbe/CIN2022-3310676.001.jpg

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