An Improved Multilabel k-Nearest Neighbor Algorithm Based on Value and Weight

An Improved Multilabel k-Nearest Neighbor Algorithm Based on Value and Weight

Multilabel data share important features, including label imbalance, which has a significant influence on the performance of classifiers. Because of this problem, a widely used multilabel classification algorithm, the multilabel k-nearest neighbor (ML-kNN) algorithm, has poor performance on imbalanc...

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Bibliographic Details
Main Authors: Zhe Wang, Hao Xu, Pan Zhou, Gang Xiao
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Computation
Subjects:
label imbalance
multilabel classification
ML-kNN
Online Access:https://www.mdpi.com/2079-3197/11/2/32

Internet

https://www.mdpi.com/2079-3197/11/2/32

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