Journal of Classification

, Volume 19, Issue 2, pp 249–276

Fixed Point Clusters for Linear Regression: Computation and Comparison

  • Christian Hennig

In this paper an algorithm is developed, which aims to find all FPCs of a dataset corresponding to well separated linear regression subpopulations. Its ability to find such subpopulations under the occurence of outliers is compared to methods based on ML-estimation of mixture models by means of a simulation study. Furthermore, FPC analysis is applied to a real dataset.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© 2002 Springer-Verlag New York Inc.

Authors and Affiliations

  • Christian Hennig
    • 1
  1. 1.Universität HamburgFachbereich Mathematik

Personalised recommendations