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

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...

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Bibliographic Details
Published in:Computational intelligence and neuroscience 2022-06, Vol.2022, p.1-10
Main Author: Lou, Na
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Cluster analysis
Clustering
Cultural heritage
Decision making
Forecasts and trends
Planning
R&D
Research & development
Route planning
Shopping
Tourism
Tourist attractions
Travel industry
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Summary: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.
ISSN:1687-5265
1687-5273
DOI:10.1155/2022/3310676