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|Title:||Detection of outliers in multivariate data: a method based on clustering and robust estimators.|
Pires, Ana M.
|Citation:||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.|
|Description:||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. [...]|
|Appears in Collections:||REMIT - Comunicações a Congressos Internacionais / Papers in International Meetings|
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