Optimal Binning

  • Ton J. Cleophas
  • Aeilko H. Zwinderman


Optimal binning is a method for multi-interval discretization of continuous variables. It is used for classification learning, and is already widely applied in econo-/sociometrics.


Classification Learning Overweight Child Minimum Description Length Model Entropy Traditional Procedure 
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  1. 1.
    Fayyad U, Irani K (1993) Multi-interval discretization of continuous value attributes for classification learning. In: 13th International joint conference of machine learning, Los AltosGoogle Scholar
  2. 2.
    SPSS Statistical Software (2013) 5 June 2013
  3. 3.
    Vichare NM, Rodgers P, Pecht MG (2013) Methods for binning and density estimates of load parameters for prognostics and health management. 5 June 2013
  4. 4.
    Sepulveda MJ, Lu C, Sill S, Young J, Edington D (2010) An observational study of an employer intervention for children’s healthy weight behaviors. Pediatrics 126:e1153–e1160PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science + Business Media Dordrecht 2013

Authors and Affiliations

  • Ton J. Cleophas
    • 1
  • Aeilko H. Zwinderman
    • 2
  1. 1.Department MedicineAlbert Schweitzer HospitalSliedrechtThe Netherlands
  2. 2.Department Biostatistics and EpidemiologyAcademic Medical CenterAmsterdamThe Netherlands

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