ML Anthology

An Analysis of the WITT Algorithm

Jan L. Talmon, Herco Fonteijn, Peter J. Braspenning
MLJ 1993 pp. 91-104
doi:10.1023/A:1022683203002 /mlj/1993/talmon1993mlj-analysis/

Abstract

In this article we present an analysis of the WITT algorithm for conceptual clustering as proposed by Hanson and Bauer (1989). We show that the measures proposed for the original WITT algorithm have serious shortcomings. We propose some alternatives for these measures, and, moreover, we make a further analysis of these alternatives such that setting the required thresholds will be less dependent of the characteristics of the cases that are to be clustered.

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Cite

Text

Talmon et al. "An Analysis of the WITT Algorithm." Machine Learning, 1993. doi:10.1023/A:1022683203002

Markdown

[Talmon et al. "An Analysis of the WITT Algorithm." Machine Learning, 1993.](https://mlanthology.org/mlj/1993/talmon1993mlj-analysis/) doi:10.1023/A:1022683203002

BibTeX

@article{talmon1993mlj-analysis,
  title     = {{An Analysis of the WITT Algorithm}},
  author    = {Talmon, Jan L. and Fonteijn, Herco and Braspenning, Peter J.},
  journal   = {Machine Learning},
  year      = {1993},
  pages     = {91-104},
  doi       = {10.1023/A:1022683203002},
  volume    = {11},
  url       = {https://mlanthology.org/mlj/1993/talmon1993mlj-analysis/}
}