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| LEADER |
01407nam a2200205Ia 4500 |
| 001 |
10.1155-2022-3310676 |
| 008 |
220718s2022 CNT 000 0 und d |
| 020 |
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|a 16875273 (ISSN)
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| 245 |
1 |
0 |
|a Analysis of the Intelligent Tourism Route Planning Scheme Based on the Cluster Analysis Algorithm
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| 260 |
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|b NLM (Medline)
|c 2022
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1155/2022/3310676
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|a 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. Copyright © 2022 Na Lou.
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| 650 |
0 |
4 |
|a algorithm
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| 650 |
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|a article
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| 650 |
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|a cluster analysis
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| 650 |
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|a human
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| 650 |
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|a reference value
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| 650 |
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|a tourism
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| 700 |
1 |
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|a Lou, N.
|e author
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| 773 |
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|t Computational intelligence and neuroscience
|x 16875273 (ISSN)
|g 2022, 3310676
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