Computing LTS Regression for Large Data Sets

Data mining aims to extract previously unknown patterns or substructures from large databases. In statistics, this is what methods of robust estimation and outlier detection were constructed for, see e.g. Rousseeuw and Leroy (1987). Here we will focus on least trimmed squares (LTS) regression, which...

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Veröffentlicht in:	Data mining and knowledge discovery 2006-01, Vol.12 (1), p.29-45
Hauptverfasser:	ROUSSEEUW, PETER J., VAN DRIESSEN, KATRIEN
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Data mining Datasets Methods Process controls Variables
Online-Zugang:	Volltext
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