Detection of outliers in multivariate data: a method based on clustering and robust estimators.

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Artigo_2002.pdf (602.41 KB)

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2002

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English

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Multivariate analysis, Outlier detection, Robust estimation, Clustering, Supervised classification

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conferenceObject

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Santos-Pereira, C., & Pires, A.M. (2002). Detection of outliers in multivariate data: a method based on clustering and robust estimators. In W. Hordle, & B. Ronz,(editors), Proceedings in Computational Statistics (pp.291-296), COMSTAT, Barcelona.

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http://hdl.handle.net/11328/755

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Outlier identification is important in many applications in multivariate analysis. Either because there is some specific interest in finding anomalous observations or as a pre-processing task before the application of multivariate method in order to preserve the results from possible harmful effects of those observations. [...]