Robust discriminant analysis

Discriminant analysis (DA) is one of the most popular methods for classification due to its conceptual simplicity, low computational cost, and often solid performance. In its standard form, DA uses the arithmetic mean and sample covariance matrix to estimate the center and scatter of each class. We...

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Veröffentlicht in:	Wiley interdisciplinary reviews. Computational statistics 2024-09, Vol.16 (5), p.e70003-n/a
Hauptverfasser:	Hubert, Mia, Raymaekers, Jakob, Rousseeuw, Peter J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification classmap Clustering Covariance matrix Data analysis Data points Discriminant analysis Graphical methods outlier detection Outliers (statistics) robust statistics Robustness Scattering Statistical methods
Online-Zugang:	Volltext
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