Evaluating Customer Segmentation Techniques in the Retail Sector

Evaluating Customer Segmentation Techniques in the Retail Sector

In the current competitive corporate landscape, understanding client preferences and adapting marketing strategies accordingly has become crucial. This study evaluates the effectiveness of four machine learning algorithms (K-Means, Density-Based Spatial Clustering of Applications with Noise (DBSCAN)...

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Bibliographic Details
Main Authors: Nur Diyabi, Duygu Çakır, Ömer Melih Gül, Tevfik Aytekin, Seifedine Kadry
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2025-06-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
clustering algorithms
customer segmentation
machine learning
retail analysis
unsupervised learning
Online Access:https://www.ijimai.org/journal/bibcite/reference/3582
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https://www.ijimai.org/journal/bibcite/reference/3582

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