A Study on Product Categorization Using Machine Learning Clustering of Image Data Using Convolutional Processing
Year: 2024
Type: article
Abstract: When classifying products using cluster analysis, a general approach is to quantify attributes such as the price, color, and size of products before analysis. However, products in online shops are often introduced using images, and when analyzing products, the necessary attribute information must be collected again as data, which results in a larger workload. Jscholar is an open access publisher of peer reviewed journals and research articles, which are free to access, share and distribute for the advancement of scholarly communication.
Author: Yoshikazu Sakamaki
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4406232357