K-means Clustering with R: Call Detail Record Analysis

From the above plot, it is evident that the clusters 1, 7, and 9 have activity for all 24 hours and are the more revenue generating clusters. The clusters 1, 5, 7, 9, and 10 have activity in night hours. The cluster 5 has activity from 11.5 to 17 hours. By using this clustering mechanism, you can find the clusters making more traffic to the telecom network in the measure of total activity. Similarly, you can obtain more information like square grid and country code information to understand the square grid likely creating more revenue and more traffic to the telecom network and to target high customers based on their geo location. In the upcoming blog, we will discuss about how RFM will be used to analyze call detail records. Bio: Rathnadevi Manivannan is working as a Senior Technical Writer in Treselle Systems, experienced and passionate about writing on different technologies and domains such as Big Data, Cloud Computing, Virtualization, Storage, Data Analytics, Business Analytics.