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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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Detalles Bibliográficos
Autor principal: Lou, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256382/
https://www.ncbi.nlm.nih.gov/pubmed/35800698
http://dx.doi.org/10.1155/2022/3310676
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author Lou, Na
author_facet Lou, Na
author_sort Lou, Na
collection PubMed
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.
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spelling pubmed-92563822022-07-06 Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm Lou, Na Comput Intell Neurosci Research Article 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. Hindawi 2022-06-28 /pmc/articles/PMC9256382/ /pubmed/35800698 http://dx.doi.org/10.1155/2022/3310676 Text en Copyright © 2022 Na Lou. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lou, Na
Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm
title Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm
title_full Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm
title_fullStr Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm
title_full_unstemmed Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm
title_short Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm
title_sort analysis of the intelligent tourism route planning scheme based on the cluster analysis algorithm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256382/
https://www.ncbi.nlm.nih.gov/pubmed/35800698
http://dx.doi.org/10.1155/2022/3310676
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