Image Clustering: Utilizing Teacher-Student Model and Autoencoder

Image Clustering: Utilizing Teacher-Student Model and Autoencoder

Complete and high-quality labeled dataset is indispensable for image classification. Considering the often arduous task of data labeling, clustering algorithms are commonly utilized in the preliminary stages of data classification to perform preliminary categorization. Traditional clustering algorit...

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Bibliographic Details
Main Authors: Zhengshun Fei, Haibo Gong, Junhao Guo, Jinglong Wang, Wuyin Jin, Xinjian Xiang, Xiasheng Ding, Ni Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Image clustering
teacher-student model
autoencoder
Online Access:https://ieeexplore.ieee.org/document/10255740/

Internet

https://ieeexplore.ieee.org/document/10255740/

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