Simple consistent cluster methods based on redescending M-estimators with an application to edge identification in images
- 1 February 2005
- journal article
- research article
- Published by Elsevier in Journal of Multivariate Analysis
- Vol. 92 (2) , 359-385
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Edge-Preserving Smoothers for Image ProcessingJournal of the American Statistical Association, 1998
- Bias in robust estimation caused by discontinuities and multiple structuresIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Extracting Geometric PrimitivesCVGIP: Image Understanding, 1993
- Fitting an unknown number of lines and planes to image data through compatible cluster mergingPattern Recognition, 1992
- Statistical expansions and locally uniform Fréchet differentiabilityJournal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics, 1991
- Robust estimation in the errors-in-variables modelBiometrika, 1989
- A maximum likelihood methodology for clusterwise linear regressionJournal of Classification, 1988
- Strong Consistency of $K$-Means ClusteringThe Annals of Statistics, 1981
- Discrete Parameter Variation: Efficient Estimation of a Switching Regression ModelEconometrica, 1978
- Robust Regression: Asymptotics, Conjectures and Monte CarloThe Annals of Statistics, 1973