Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search

Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search

The identification of suitable feature subsets from High-Dimensional Low-Sample-Size (HDLSS) data is of paramount importance because this dataset often contains numerous redundant and irrelevant features, leading to poor classification performance. However, the selection of an optimal feature subset...

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Bibliographic Details
Main Authors: Ashis Kumar Mandal, MD. Nadim, Hasi Saha, Tangina Sultana, Md. Delowar Hossain, Eui-Nam Huh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Classification
differential evaluation
feature selection
filter approach
HDLSS data
wrapper approach
Online Access:https://ieeexplore.ieee.org/document/10504829/

Internet

https://ieeexplore.ieee.org/document/10504829/

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