About One Robust Variant of Principal Component Analysis

A new robust version of the classical formulation of the problem of finding principal components, dating back to Pearson, is considered. It is based on the use of differentiable estimates of the mean value, insensitive or slightly sensitive to outliers, to construct a robust version of the objective functional in the corresponding optimization problem. This approach, in principle, makes it possible to overcome the impact of outliers. The capabilities of the proposed approach to overcome the impact of outliers are clearly demonstrated using real data.

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Publication Details

Journal
Pattern Recognition and Image Analysis
Published
2024-12-01
DOI
https://doi.org/10.1134/s1054661824701219
Primary Topic
Advanced Statistical Methods and Models
Type
article
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article

About One Robust Variant of Principal Component Analysis

З. М. Шибзухов
Pattern Recognition and Image Analysis
Advanced Statistical Methods and Models
article

About One Robust Variant of Principal Component Analysis

З. М. Шибзухов
article en

Abstract

A new robust version of the classical formulation of the problem of finding principal components, dating back to Pearson, is considered. It is based on the use of differentiable estimates of the mean value, insensitive or slightly sensitive to outliers, to construct a robust version of the objective functional in the corresponding optimization problem. This approach, in principle, makes it possible to overcome the impact of outliers. The capabilities of the proposed approach to overcome the impact of outliers are clearly demonstrated using real data.

Pattern Recognition and Image AnalysisVol. 34(4)
Institute of Theoretical and Applied Electrodynamics (RU)
Openalex Percentile: Top 73%
Advanced Statistical Methods and Models
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