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Integrated Analysis of Automobile Retail Customer Behavior in Nigeria Using Clustering and Dimension Reduction Techniques
This paper explores the application of unsupervised learning methods to analyze customer behavior in Nigeria’s automobile retail sector. By employing clustering and dimension reduction techniques, I aim to uncover hidden patterns and groupings within the data, enabling a deeper understanding of customer preferences and behaviors. This analysis provides actionable insights for automotive retailers to enhance customer segmentation strategies and improve service offerings.
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