A Novel Two-Fold Loss Function for Data Clustering and Reconstruction: Application to Document Analysis

A Novel Two-Fold Loss Function for Data Clustering and Reconstruction: Application to Document Analysis

<p dir="ltr">In the midst of the ongoing COVID-19 pandemic, there has been a surge in scientific literature aimed at understanding the virus and its impact. However, it has become challenging for a researcher to deal with thousands of articles published daily. This paper proposes a n...

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Bibliographic Details
Main Author: Mebarka Allaoui (17983795) (author)
Other Authors: Mohammed Lamine Kherfi (17983798) (author), Oussama Aiadi (17983801) (author), Samir Brahim Belhaouari (9427347) (author)
Published: 2023
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Materials engineering
Noise measurement
COVID-19
Training
Encoding
Data models
Computational modeling
Mathematical models
Document handling
Clustering
deep learning
dimensionality reduction
document organization
topic modeling
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