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Journal of Classification

, Volume 17, Issue 2, pp 273–296 | Cite as

Identifiablity of Models for Clusterwise Linear Regression

  • C. Hennig

The model choice and the interpretation of the parameters are discussed as well as the use of the identifiability concept for fixed partition models. The concept is generalized to "partial identifiability".

Keywords

Linear Regression Model Choice Partition Model Fixed Partition Identifiability Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 2000

Authors and Affiliations

  • C. Hennig
    • 1
  1. 1.Fachbereich Mathematik - SPSTUniversitä Hamburg

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