PtLess - Prototype-less Fuzzy Clustering

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Note: The table package contains some auxiliary programs for preprocessing the data files.

Description

PtLess is a set of programs to do prototype-less fuzzy clustering, that is, the clustering result is described only by a fuzzy partition matrix, but there are no prototypes to describe the clusters. For GNU/Linux there is also a viewer that visualizes the clustering result.

If you have trouble executing the programs on Microsoft Windows, check whether you have the Microsoft Visual C++ Redistributable for Visual Studio 2022 (see under "Other Tools and Frameworks") installed, as the programs were compiled with Microsoft Visual Studio 2022.

A description of the ideas underlying this approach can be found in the following papers:

• Prototype-less Fuzzy Clustering
  Christian Borgelt
  Proc. 16th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'07, London, UK), 1042-1047
  IEEE Press, Piscataway, NJ, USA 2007
  doi:10.1109/FUZZY.2007.4295510 ieeexplore.ieee.org
  fieee_07.pdf (253 kb) fieee_07.ps.gz (549 kb) (8 pages)
• An Extended Objective Function for Prototype-less Fuzzy Clustering
  Christian Borgelt and Rudolf Kruse
  Proc. 26th Conf. North American Fuzzy Information Processing Society (NAFIPS 2007, San Diego, CA), 146-151
  IEEE Press, Piscataway, NJ, USA 2007
  doi:10.1109/NAFIPS.2007.383827 ieeexplore.ieee.org
  nafips_07.pdf (234 kb) nafips_07.ps.gz (483 kb) (6 pages)