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Building Classes in Object-Based Languages by Automatic Clustering

  • Petko Valtchev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1642)

Abstract

The paper deals with clustering of objects described both by properties and relations. Relational attributes may make object descriptions recursively depend on themselves so that attribute values cannot be compared before objects themselves are. An approach to clustering is presented whose core element is an object dissimilarity measure. All sorts of object attributes are compared in a uniform manner with possible exploration of the existing taxonomic knowledge. Dissimilarity values for mutually dependent object couples are computed as solutions of a system of linear equations. An example of building classes on objects with self-references demonstrates the advantages of the suggested approach.

Keywords

Object Attribute Conceptual Cluster Abstract Data Type Single Linkage Cluster Automatic Cluster 
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 1999

Authors and Affiliations

  • Petko Valtchev
    • 1
  1. 1.INRIA Rhône-AlpesMontbonnot Saint-MartinFrance

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