Sciweavers

Share
ADAC
2010

Robust classification for skewed data

9 years 5 months ago
Robust classification for skewed data
In this paper we propose a robust classification rule for skewed unimodal distributions. For low dimensional data, the classifier is based on minimizing the adjusted outlyingness to each group. In the case of high dimensional data, the robustified SIMCA method is adjusted for skewness. The robustness of the methods is investigated through different simulations and by applying it to some datasets. Keywords Robustness
Mia Hubert, Stephan Van der Veeken
Added 28 Feb 2011
Updated 28 Feb 2011
Type Journal
Year 2010
Where ADAC
Authors Mia Hubert, Stephan Van der Veeken
Comments (0)
books