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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| Veröffentlicht in: | Computational intelligence and neuroscience 2022-06, Vol.2022, p.1-10 |
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| container_title | Computational intelligence and neuroscience |
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| creator | Lou, Na |
| description | 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. |
| doi_str_mv | 10.1155/2022/3310676 |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; Wiley-Blackwell Open Access Titles; PubMed Central; Alma/SFX Local Collection |
| 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 |
| title | Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm |
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