Robust Principal Component Analysis Based on Modified Minimum Covariance Determinant in the Presence of Outliers
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DOI: http://dx.doi.org/10.17093/aj.2016.4.2.5000189525
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References listed on IDEAS
- Croux, Christophe & Ruiz-Gazen, Anne, 2005. "High breakdown estimators for principal components: the projection-pursuit approach revisited," Journal of Multivariate Analysis, Elsevier, vol. 95(1), pages 206-226, July.
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- B. Baris Alkan & Cemal Atakan & Nesrin Alkan, 2015. "A comparison of different procedures for principal component analysis in the presence of outliers," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(8), pages 1716-1722, August.
- Todorov, Valentin & Filzmoser, Peter, 2009. "An Object-Oriented Framework for Robust Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i03).
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More about this item
Keywords
Minimum Covariance Determinant; Outliers; Robust Principal Component Analysis;All these keywords.
JEL classification:
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
Statistics
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