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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-9256382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT louna analysisoftheintelligenttourismrouteplanningschemebasedontheclusteranalysisalgorithm |