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Balanced DATA by DBSCAN and Weighted Arithmetic Mean to Improve Performance of Machine Learning Algorithms
Author(s) -
Serkan Güldal
Publication year - 2021
Publication title -
bitlis eren üniversitesi fen bilimleri dergisi
Language(s) - English
Resource type - Journals
eISSN - 2147-3188
pISSN - 2147-3129
DOI - 10.17798/bitlisfen.985519
Subject(s) - oversampling , undersampling , resampling , support vector machine , random forest , algorithm , computer science , artificial intelligence , euclidean distance , machine learning , dbscan , pattern recognition (psychology) , mathematics , data mining , cluster analysis , computer network , canopy clustering algorithm , correlation clustering , bandwidth (computing)

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