Research Article

User Value Identification Based on Improved RFM Model and -Means++ Algorithm for Complex Data Analysis

Table 3

Customer clustering results.

ClusterCount

Cluster 30.004060.168570.099130.079570.124639
Cluster 20.003960.066750.041210.048150.0607127
Cluster 40.003930.021450.014890.104690.0142124
Cluster 10.004130.012950.008480.018550.0127290