Zhengzhou College of Finance and Economics, Zhengzhou, Henan 450000, China.
Comput Intell Neurosci. 2022 Jun 28;2022:3310676. doi: 10.1155/2022/3310676. eCollection 2022.
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.
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。