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The document discusses high breakdown estimators for principal components using a projection-pursuit approach, building on the work of Li and Chen. It highlights the sensitivity of classical PCA to outliers and presents a robust method that maintains high breakdown points and efficiency. The authors derive influence functions for the estimators and propose a simple, fast algorithm for practical implementation, illustrated with real data examples.
- Author
- uswatunhasanahus10
- Language
- EN