基于模糊聚类的养生旅游资源信息检索方法

Research on Information Retrieval Method of Health Tourism Resources Based on Fuzzy Clustering

采用异构有向图分析方法进行养生旅游资源信息存储结构设计,结合特征空间重组技术进行养生旅游资源信息结构重组,提取养生旅游资源信息的关联信息特征量,采用语义相关性融合的方法进行养生旅游资源信息特征提取和自适应调度,对提取的养生旅游资源信息特征量进行模糊聚类处理,采用模糊C均值聚类方法进行养生旅游资源信息的网格分区聚类和属性分类识别,实现养生旅游资源信息的优化检索。仿真结果表明,采用该方法进行养生旅游资源信息检索的查准率较高,查全率较好,提高了资源检索的准确性。

The heterogeneous directed graph analysis method is used to design the information storage structure of health tourism resources,and the feature quantity of related information of health tourism resources information is extracted by com bining the feature space reorganization technology.The semantic correlation fusion method is used to extract the information features of health tourism resources and adaptive scheduling,and the fuzzy clustering processing of the extracted characteris tics of health tourism resources information is carried out.The fuzzy C-means clustering method is used to realize the optimal retrieval of health tourism resources information by grid partition clustering and attribute classification recognition of health tourism resources information.The simulation results show that the precision and recall of health tourism resources informa tion retrieval using this method are high and the accuracy of resource retrieval is improved.