The research of Traveling Companion algorithm based on fuzzy clustering analysis

The algorithm research of Traveling Companion is based on the fuzzy clustering analysis. The traveling companion is achieved via determining companion's characteristic index, tourists' information collection, dynamic fuzzy clustering analysis and finding optimal companion. In addition, it is aimed at solving the problems emerged in the tour and providing tourist enterprises with new tips for marketing. The result of the empirical research indicates that the algorithm research of traveling companion is faithfully and reasonably designed, and has guiding significance to solve relevant problems in the future.