1 A JAVA SIMULATION TOOL FOR FUZZY CLUSTERING
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Abstract:
Emerging technologies on the World Wide Web promise to make program, algorithm and concept simulations universally accessible and Java appears to be the best technology available. 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 an asset when working with people unfamiliar with the mechanics of fuzzy clustering, such as non-computer scientists or students. This system was integral in the development of an algorithm capable of locating an unknown number of clusters embedded in background noise.
Citations
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| 2 | Algorithm Animation of Neural Networks – Jackson, Morton - 1996 |
| 1 | Validity Measure for Robust Fuzzy Clustering of Crystallographic Statistics – Egan, Krishnamoorthy, et al. - 1997 |
