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Comparison of clustering techniques: A survey

Author: 
Rajat Bhatia, Amrutha, R., Shubham Singh, Shreya Mehta and BhushanInje
Subject Area: 
Physical Sciences and Engineering
Abstract: 

The Information Industry has a huge amount of data available with them. This data needs to be analyzed and converted into useful information. The method used for extracting pattern and getting insight from data is known as data mining. Our Survey is focused on huge amount of data generated by the telecommunication industry. The marketing strategy used in telecommunication industry has various step, the very beginning of step is to segment the customers on the basis of customer’s usage of services and customer billing cycle. For segmenting this data, here we are comparing different clustering algorithms to find out the best fit for our data and perform the further actions.

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