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Outliers in biometrical data: What's old, What's new
by Anna Bartkowiak
International Journal of Biometrics (IJBM), Vol. 2, No. 1, 2010

 

Abstract: Nowadays a huge amount of data is gathered in the biometric area, e.g., sequences of DNA code, graphical images for recognition or authorisation of subjects, video monitoring, clinical trials or health care. Outliers are observations which are discordant with the model describing the data. The appearance of an outlier may be caused by a gross error; alternatively, an outlier (or a group of them) may represent observations which are caused by phenomena not accounted for in the assumed model. The paper shows a subjective survey of some methods serving for detection of outliers or anomalies in multivariate data. The methods are viewed from historical perspective.

Online publication date: Tue, 15-Dec-2009

 

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