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In this project, unsupervised methods were employed to form clusters of similar vehicles based on sales data from Italy between 2003 and 2005. Through detailed analysis of monthly sales volumes, vehicles were grouped to reveal competitive relationships. This approach aids in understanding market dynamics and identifying key competitors.
alessandromonolo/Cluster_Model_For_Similar_Vehicles
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In this project, unsupervised methods were employed to form clusters of similar vehicles based on sales data from Italy between 2003 and 2005. Through detailed analysis of monthly sales volumes, vehicles were grouped to reveal competitive relationships. This approach aids in understanding market dynamics and identifying key competitors.
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