Customer Segmentation: Types of Models and Clustering Techniques

Pratik Jitendra Gharde; Professor Harshad Kubade; Aman Amit Pandey; Tushar Dilip Fulbandhe; Sanskruti Ratnakar Hedaoo; Kiran Sharad Rehpade

Customer Segmentation: Types of Models and Clustering Techniques

April 2023

Vol-9, Issue-2

Paper ID: 19864

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Customer Segmentation Random Forest KNN SVM Customer Models

Abstract

Nowadays, online shopping has increased massively as customers can buy their desired items from the comfort of their homes with just one click. Since most of the purchases are made online, the online market has increased a lot in recent years, and the data that is collected there has also increased tremendously. This data can be used to find out what customers want, what kind of customers buy their product, and what kind of customers to focus on. One way to use the data and learn more about the customer is through customer segmentation. Customer segmentation is used to divide customers into groups based on factors such as age, gender, shopping habits, etc. In this work, machine learning algorithms such as support vector machine, random forest algorithm, and knn were tried and random forest had an accuracy of 89.6% and was used to develop the model. The dataset used contained more than 4000 entries and 8 attributes, which helped to increase the accuracy.

License

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Author Information

#	Name	Institute / Affiliation
1	Pratik Jitendra Gharde	Priyadarshini Collège of Engineering, Nagpur
2	Professor Harshad Kubade	Priyadarshini Collège of Engineering, Nagpur
3	Aman Amit Pandey	Priyadarshini Collège of Engineering, Nagpur
4	Tushar Dilip Fulbandhe	Priyadarshini Collège of Engineering, Nagpur
5	Sanskruti Ratnakar Hedaoo	Priyadarshini Collège of Engineering, Nagpur
6	Kiran Sharad Rehpade	Priyadarshini Collège of Engineering, Nagpur

How to Cite

Use the following formats to cite this article in your research.

APA Style

Gharde, Pratik Jitendra, Kubade, Professor Harshad, Pandey, Aman Amit, Fulbandhe, Tushar Dilip, Hedaoo, Sanskruti Ratnakar, & Rehpade, Kiran Sharad (2023). Customer Segmentation: Types of Models and Clustering Techniques. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 2706-2713.

MLA Style

Gharde, Pratik Jitendra, et al. "Customer Segmentation: Types of Models and Clustering Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 2706-2713.

IEEE Style

Pratik Jitendra Gharde, Professor Harshad Kubade, Aman Amit Pandey, Tushar Dilip Fulbandhe, Sanskruti Ratnakar Hedaoo, and Kiran Sharad Rehpade, "Customer Segmentation: Types of Models and Clustering Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 2706-2713, 2023.

Vancouver Style

Gharde Pratik Jitendra, Kubade Professor Harshad, Pandey Aman Amit, Fulbandhe Tushar Dilip, Hedaoo Sanskruti Ratnakar, Rehpade Kiran Sharad. Customer Segmentation: Types of Models and Clustering Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):2706-2713.

Harvard Style

Gharde, Pratik Jitendra, Kubade, Professor Harshad, Pandey, Aman Amit, Fulbandhe, Tushar Dilip, Hedaoo, Sanskruti Ratnakar, & Rehpade, Kiran Sharad (2023) 'Customer Segmentation: Types of Models and Clustering Techniques', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 2706-2713.

Chicago Style

Gharde, Pratik Jitendra, et al. "Customer Segmentation: Types of Models and Clustering Techniques." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2706-2713.

Turabian Style

Gharde, Pratik Jitendra, et al. "Customer Segmentation: Types of Models and Clustering Techniques." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2706-2713.