Optimized image-based grouping of e-commerce products using deep hierarchical clustering

Managing large and constantly evolving product catalogs is a significant challenge for e-commerce platforms, especially when visually similar products cannot be reliably distinguished using text-based methods. This study proposes a product grouping method that combines a fine-tuned EfficientNetV2M m...

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Bibliographic Details
Main Authors:	Yuliana Melita Pranoto, Anik Nur Handayani, Heru Wahyu Herwanto, Yosi Kristian
Format:	Article
Language:	English
Published:	Universitas Ahmad Dahlan 2025-08-01
Series:	IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:	product grouping e-commerce convolutional neural network agglomerative clustering normalized mutual information
Online Access:	https://ijain.org/index.php/IJAIN/article/view/1979
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Optimized image-based grouping of e-commerce products using deep hierarchical clustering

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