DBRF: Random Forest Optimization Algorithm Based on DBSCAN

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DBRF: Random Forest Optimization Algorithm Based on DBSCAN

correlation and redundancy of features will directly affect the quality of randomly selected features, weakening the convergence of random forests (RF) and reducing the performance of random forest models. This paper introduces an improved random forest algorithm-A Random Forest Algorithm Based on D...

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Bibliographic Details
Published in:	INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
Main Authors:	Zhuo, Wang; Ahmad, Azlin
Format:	Article
Language:	English
Published:	SCIENCE & INFORMATION SAI ORGANIZATION LTD 2024
Subjects:	Computer Science
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001344145700001

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