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fzBLE: A new Bayesian-based validation method for fuzzy clustering of gene expression data | LE LAB | DATA SCIENCE



Or file: #Dimensions: ÷
#Loops: ÷ #Clusters range: ÷

 This is to compare fzBLE with seven popular cluster validity indices: CWB, FS, PBMF, BR, XB, PC, PE.

  1. Select "Gene expression" if the input data are gene expression levels

  2. Select the number of trial fuzzy partitions under "Loops"

  3. Select the range of cluster# and data dimensions using "#Clusters range" and "#Dimensions"

  4. Enter the input under "Data", or select "Data" command

  5. Select "Run" command to run the benchmark

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