Improvement of spatial data clustering algorithm in city location

Spatial data mining is a new research direction in the field of Data Mining. In recent years, with the continuous development of data mining technology, spatial data attracts more and more attentions of scholars and experts. Spatial clustering analysis is an important part of spatial data mining. Nowadays, spatial clustering analysis has become more and more mature, widely used in various fields. Spatial clustering analysis algorithm can deeply discover the knowledge which hidden in the geospatial information, find out the representative node of one or a number of spatial data collection, discovery the law of the spatial distribution. Classic clustering algorithm basing on partition widely used in the field of cities planning and provide valuable reference. This paper is based on the spatial data mining method, analysis and optimize the spatial data clustering algorithm in the Location Problem in the city, providing scientific location decisions.