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Probability Based method for defuzzification of fuzzy cluster partition | LE LAB | DATA SCIENCE

LE LAB

DATA SCIENCE

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

  5. The benchmark will be performed on our server. The algorithm performance, once done, will be reported back on this page.