2024
DOI: 10.21203/rs.3.rs-4251752/v1
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Outlier detection in classification based on feature-selection-based regression

Jinxia Su,
Qiwen Liu,
Jingke Cui

Abstract: The appearance of outliers results in a complexity to achieve an accurate classify. This paper aims to the detection and identification of outlier before selecting a suitable classifier. The problem is firstly converted to an high-dimensional regression, then we propose a novel method on combination of multiple-correlation-coefficientbased feature selection for dimensional reduction, t−test for sparsification, an iterated algorithm is also given. Performance on simulated numerical data and applications to low-… Show more

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