Simulation of China’s urban tourism activity based on improved density clustering algorithm

Tourism is the pillar industry of many cities, and it also an important key point to promote urban development maintain vitality. At present, analysis tourism activity in China can better assist research regional economic orderly economy. Many scholars have carried out this respect. As a new growing field, artificial intelligence plays role tourism. With continuous science technology, human field developing. New products continue emerge. The workload most may exceed manual workload. In order continuously update intelligence, individuals effectively combine data mining knowledge disseminated by network with technology create advanced model. This paper uses OPTICS-based clustering algorithm analyze photographs on Flickr website obtain information about activities Chinese cities. help visualization software visualize experimental verify results introduced article, city be recommended destination. studied application improved density biology image analysis, but there are still some gaps make contributions related fields.