A Comparative Analysis of Filter and Optimization Methods for Feature Selection-Reference-Cited by-同舟云学术

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A Comparative Analysis of Filter and Optimization Methods for Feature Selection

Published:2023-12-14 Issue: Volume:7 Page:1-7
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Reddy Keerthi Gabbi¹,Basha MehfoozaMunavar¹,Mishra Deepasikha¹

Affiliation:

1. VIT-AP University,School of CSE,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465517.pdf?arnumber=10465517

Reference26 articles.

1. A comprehensive survey on feature selection in the various fields of machine learning

2. The Emerging "Big Dimensionality"

3. SP-DDPT: a simple prescriptive-based domain data preprocessing technique to support multilabel-multicriteria learning with expert information

4. Feature selection for high-dimensional data

5. LIVECell—A large-scale dataset for label-free live cell segmentation

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