Observation points classifier ensemble for high‐dimensional imbalanced classification

Abstract In this paper, an Observation Points Classifier Ensemble (OPCE) algorithm is proposed to deal with High‐Dimensional Imbalanced Classification (HDIC) problems based on data processed using the Multi‐Dimensional Scaling (MDS) feature extraction technique. First, dimensionality of the original...

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Hlavní autoři:	Yulin He, Xu Li, Philippe Fournier‐Viger, Joshua Zhexue Huang, Mianjie Li, Salman Salloum
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2023-06-01
Edice:	CAAI Transactions on Intelligence Technology
Témata:	classifier ensemble feature transformation high‐dimensional data classification imbalanced learning observation point mechanism
On-line přístup:	https://doi.org/10.1049/cit2.12100
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