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基于聚类分析算法的智能旅游规划
引用本文:聂雷刚,李咏梅,余元辉. 基于聚类分析算法的智能旅游规划[J]. 电脑开发与应用, 2012, 25(2): 28-30
作者姓名:聂雷刚  李咏梅  余元辉
作者单位:1. 集美大学航海学院,福建厦门,361021
2. 集美大学计算机学院,福建厦门,361021
基金项目:基金项目:厦门市科技局重点资助项目(2009h0036).
摘    要:为了解决游客选取旅游景点以及最短旅行线路时的困惑,将智能导游引入到旅游规划中,在地图软件的基础上插入厦门的旅游景点数据进行二次开发。首先以层次聚类算法分解出游客喜好的景点集合类簇,再以改进的密度法在不同地区有针对性地以不同的搜索半径搜索附近满足要求的景点,为游客提供一个最优的旅游规划。

关 键 词:智能旅游规划  聚类分析算法  层次聚类算法

Intelligent Tourism Planning Based on the Cluster Analysis Algorithm
NIE Lei-gang , LI Yong-mei , YU Yuan-hui. Intelligent Tourism Planning Based on the Cluster Analysis Algorithm[J]. Computer Development & Applications, 2012, 25(2): 28-30
Authors:NIE Lei-gang    LI Yong-mei    YU Yuan-hui
Affiliation:1. College of Navigation ,Jimei University ,Xiamen 361021 ,China,2. College of Computer ,Jimei University ,Xiamen 361021 ,China)
Abstract:To solve the tourist's confusion on how to choose suitable attractions and the shortest travel route, smart guide is introduced in the tourism planning and Xiamen's attractions are inserted in the map software for secondary development. First, some attractions sets are produced by hierarchical clustering algorithm according to tourist's hobby. Second, using improved density method,we can search the suitable attractions in different regions with different radius to offer the tourist the optimum tourism plan.
Keywords:intelligent travel planning   clustering algorithm   hierarchical clustering algorithm
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