Regression clustering with redescending M-estimators

被引：2
|
作者：
Garlipp, T [1 ]
Müller, CH [1 ]
机构：
[1] Carl von Ossietzky Univ Oldenburg, Fachbereich Math 6, D-26111 Oldenburg, Germany
来源：
INNOVATIONS IN CLASSIFICATION, DATA SCIENCE, AND INFORMATION SYSTEMS | 2005年
关键词：
D O I：
10.1007/3-540-26981-9_5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We use the local maxima of a redescending M-estimator to identify clusters, a method proposed already by Morgenthaler (1990) for finding regression clusters. We work out the method not only for classical regression but also for orthogonal regression and multivariate locations and give consistency results for all three cases. The approach of orthogonal regression is applied to the identification of edges in noisy images.
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页码：38 / 45
页数：8
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