Adaptation of Spectral Clustering in Telecommunication Industry for Customer Relationship Management

The customers are the main entity of any business company and when it comes to telecommunication industry and its mature market, that number is too huge to be analyzed manually. That is where CRM analytics comes in the scenario, which helps in doing a better business. In this paper, we have analyzed a data-set of call records of 325 records, containing the attributes: directory number, called number, date, time, duration & units. Here we have used spectral clustering and k-means clustering to analyze the dataset to gain some information from the data to reach a certain conclusion. Considering this is a forward chaining research, there is no predefined target to be achieved. Here we have mainly done a comparative study between spectral clustering and k-means to see which one gives a better perspective of the data.