Supervised Density-Based Metric Learning Based on Bhattacharya Distance for Imbalanced Data Classification Problems

Supervised Density-Based Metric Learning Based on Bhattacharya Distance for Imbalanced Data Classification Problems

Learning distance metrics and distinguishing between samples from different classes are among the most important topics in machine learning. This article proposes a new distance metric learning approach tailored for highly imbalanced datasets. Imbalanced datasets suffer from a lack of data in the mi...

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Bibliographic Details
Main Authors: Atena Jalali Mojahed, Mohammad Hossein Moattar, Hamidreza Ghaffari
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Big Data and Cognitive Computing
Subjects:
imbalanced data classification
distance metric learning
Bhattacharya divergence
class density estimation
Online Access:https://www.mdpi.com/2504-2289/8/9/109
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