Robust statistics for outlier detection

@article{Rousseeuw2011RobustSF,
  title={Robust statistics for outlier detection},
  author={Peter Rousseeuw and Mia Hubert},
  journal={Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
  year={2011},
  volume={1}
}
  • P. RousseeuwM. Hubert
  • Published 2011
  • Computer Science, Mathematics
  • Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
When analyzing data, outlying observations cause problems because they may strongly influence the result. [] Key Method We discuss robust procedures for univariate, low-dimensional, and high-dimensional data such as estimation of location and scatter, linear regression, principal component analysis, and classification. © 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 73-79 DOI: 10.1002/widm.2 This article is categorized under: Algorithmic Development > Biological Data Mining…

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