Observation points classifier ensemble for high‐dimensional imbalanced classification

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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Bibliographic Details
Main Authors: Yulin He, Xu Li, Philippe Fournier‐Viger, Joshua Zhexue Huang, Mianjie Li, Salman Salloum
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
classifier ensemble
feature transformation
high‐dimensional data classification
imbalanced learning
observation point mechanism
Online Access:https://doi.org/10.1049/cit2.12100

Internet

https://doi.org/10.1049/cit2.12100

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