A Novel Approach for Outlier Detection in Multivariate Data

Outlier detection is a challenging task especially when outliers are defined by rare combinations of multiple variables. In this paper, we develop and evaluate a new method for the detection of outliers in multivariate data that relies on Principal Components Analysis (PCA) and three-sigma limits. T...

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Veröffentlicht in:	Mathematical problems in engineering 2021-10, Vol.2021, p.1-12
Hauptverfasser:	Afzal, Saima, Afzal, Ayesha, Amin, Muhammad, Saleem, Sehar, Ali, Nouman, Sajid, Muhammad
Format:	Artikel
Sprache:	eng
Schlagworte:	Criteria Data analysis Datasets Engineering Methods Multivariate analysis Normal distribution Outliers (statistics) Performance evaluation Principal components analysis Probability distribution Sample variance Variables
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