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Discrimination: Assigning Symbolic Objects to Classes

  • Jean-Paul Rasson
  • Sandrine Lissoir
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Kernel density estimation is a tool which allows the statistician to construct a density on any sample of data. Recent references on density estimation with a probabilistic background are numerous (e.g., books by Hand 1982, Silverman 1986, Devroye 1985). These methods compute a weighted sum of kernels centered on each data point.

Keywords

Terminal Node Dissimilarity Measure Symbolic Data Admissibility Condition Decisional Node 
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 Berlin Heidelberg 2000

Authors and Affiliations

  • Jean-Paul Rasson
    • 1
  • Sandrine Lissoir
    • 1
  1. 1.Département de MathématiqueFacultés UniversitairesNamurBelgium

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