LE DATA LAB

Demo Center

Data: 
Or file:  #Dimensions: ÷
#Trials: ÷ #Clusters:

 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 "#Dimensions" 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.