Detection of outliers in multivariate data: a method based on clustering and robust estimators
Outlier identification is important in many applications of multivariate analysis. Either because there is some specific interest in finding anomalous observations or as a pre-processing task before the application of some multivariate method, in order to preserve the results from possible harmful e...
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| Format: | book |
| Language: | eng |
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2002
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| Online Access: | https://hdl.handle.net/10216/65794 |
| Country: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/65794 |