Demo Projects
#Dim
#Trials #Clusters
 Cor. distance
This is to compare fzPBD with popular defuzzification methods: MMD, NBM, GRG and sFCM.
  1. Select the number of times trying the input data under "#Trials;
  2. Set the data dimension and #clusters under "#Dim" and "#Clusters" respectively;
  3. Enter the data under "Data", or select "Data" command to generate simulated dataset;
  4. Select "Run" command to run the benchmark. Results will be reported on this webpage.
Please cite us
Thanh Le, Tom Altman and Katheleen Gardiner, 2012, A Probability Based Defuzzification Method for Fuzzy Cluster Partition, Proc. Intl' Conf. on Artificial Intelligence, Vol. 2, pp. 1038-1043.
Designed & Developed by Thanh Le
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