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

机译:基于聚类分析算法的智能旅游线路规划方案分析

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摘要

In view of the problems of the traditional cluster analysis algorithm such as strong dependence on the initial cluster center, the traditional k-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 k-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.
机译: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k-means聚类分析算法进行了改进,实验证明改进算法具有较好的聚类效果;针对传统旅游路线规划存在的问题,将改进的K-means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指标,实验结果表明,该方案具有一定的合理性和参考价值。

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