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The dynamic clusters method and optimization in non hierarchical-clustering

  • E. Diday
Pattern Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3)

Abstract

Algorithms which are operationnally efficient and which give a good partition of a finite set, produce solutions that are not necessarily optimum. The main aim of this paper is a synthetical study of properties of optimality in spaces formed by partitions of a finite set. We formalize and take for a model of that study a family of particularily efficient techniques of "clusters centers" type. The proposed algorithm operates on groups of points or "kernels"; these kernels adapt and evolve into interesting clusters.

After having developed the notion of "strong" and "weak" patterns, and the computer aspects, we illustrate the different results by an artificial example.

Keywords

Cluster Center Weak Form Strong Form Good Partition Connected Part 
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 1973

Authors and Affiliations

  • E. Diday
    • 1
  1. 1.I.R.I.A. Rocquencourt (78)France

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