A Group Feature Ranking and Selection Method Based on Dimension Reduction Technique in High-Dimensional Data-Reference-Cited by-同舟云学术

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A Group Feature Ranking and Selection Method Based on Dimension Reduction Technique in High-Dimensional Data

Published:2022 Issue: Volume:10 Page:125136-125147
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zubair Iqbal Muhammad¹^ORCID,Kim Byunghoon¹^ORCID

Affiliation:

1. Department of Industrial and Management Engineering, Hanyang University, Ansan, South Korea

Funder

National Research Foundation of Korea

Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09966584.pdf?arnumber=9966584

Reference36 articles.

1. STatistical Inference Relief (STIR) feature selection

2. Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments

3. Functional Genomics: Expression Analysis of Escherichia coli Growing on Minimal and Rich Media

4. Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring

5. Ensemble of feature selection methods: A hesitant fuzzy sets approach

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