FCLUST: a visualization tool for fuzzy clustering

Authors:
M. A. Egan;M. Krishnamoorthy;K. Rajan
Affiliations:
Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, Troy, NY
Venue:
SIGCSE '98 Proceedings of the twenty-ninth SIGCSE technical symposium on Computer science education
Year:
1998

Citing 5
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Abstract

Emerging technologies on the World Wide Web promise to make program, algorithm and concept simulations universally accessible. Simulations involving animation and visualization have a tremendous benefit when applied to various algorithms. We present a simulation tool for experimenting with concepts in fuzzy clustering that has proved useful in visualizing the results and demonstrating the computation method of the algorithms. This is especially advantageous in a classroom or laboratory setting where students may become more comfortable with the mechanics of fuzzy clustering through personal discovery and online experimentation.