CLUSTERING APPARATUS AND METHOD FOR CUSTOMERS GROUPS BASED ON BIG DATA

摘要

A clustering method for calculating a target customer group based on big data is disclosed. The clustering method includes the steps of (a) obtaining, by a computing device, first data related to a prospective customer sampled based on a preset time period and second data related to a point of sale, (b) by the computing device, the second data allocating the potential customer to one of any k groups, where k is a natural number, using at least one of the first data and the second data, (c) the computing device is configured to: Calculating the degree of interest, and (d) outputting, by the computing device, at least one group having an interest level greater than or equal to a threshold among the groups as a marketing target group.