A Fuzzy-Based Fast Feature Selection Using Divide and Conquer Technique in Huge Dimension Dataset

A Fuzzy-Based Fast Feature Selection Using Divide and Conquer Technique in Huge Dimension Dataset

Feature selection is commonly employed for identifying the top n features that significantly contribute to the desired prediction, for example, to find the top 50 or 100 genes responsible for lung or kidney cancer out of 50,000 genes. Thus, it is a huge time- and resource-consuming practice. In this...

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Bibliographic Details
Main Authors:	Arihant Tanwar, Wajdi Alghamdi, Mohammad D. Alahmadi, Harpreet Singh, Prashant Singh Rana
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Mathematics
Subjects:	feature selection divide-and-conquer technique huge dimension dataset genomic dataset fuzzy technique fuzzy backward feature elimination
Online Access:	https://www.mdpi.com/2227-7390/11/4/920

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