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

Author:

Lou Na1ORCID

Affiliation:

1. Zhengzhou College of Finance and Economics, Zhengzhou, Henan 450000, China

Abstract

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.

Funder

Research on the Development Path of Rural Cultural Tourism Integration in Dabie Mountain Area of Henan Province under the Strategy of Rural Revitalization

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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