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Development of a Distance-free Clustering System for Customer Segmentation

Student: Khairtdinova Marina

Supervisor: Aleksey V. Buzmakov

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2020

The work aims at the application for customer segmentation application development. The program allows to immediately get an interpretable description of the segment. Besides, the application can be used for carrying out own research of possibilities of segmentation of the data due to the mechanism of reflexion which is used by the application. Such approach allows dynamically loading the list of available algorithms that gives the chance to the user to add own algorithms. In order to test the implemented approach to segmentation of customers, the analysis of customers of the Perm Krai grocery store chain was performed with the definition of a subgroup of customers, which may be potentially useful for interested parties. The work consists of four chapters, including 29 figures, 3 tables and 9 applications.

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