Research on business area mining using location data based on hierarchical clustering algorithm

According to the coverage of cell phone signals in geographic space, combined with time series of cell phone, positioning data can restore the complete realistic activity trajectory of the population, so as to obtain the characteristic information of spatial distribution and activity connection of the population. In this paper, the user location dataset obtained from CMCC is pre-processed, then mined by hierarchical clustering algorithm and combined with data visualization techniques. The experimental results can provide decision support for commercial promotion, so as to carry out targeted business layout.