fzBLE: A new Bayesian-based validation method for fuzzy clustering of gene expression data

#Dim

#Loops #Clusters

Genomics

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

Select "Gene expression" if the input data are gene expression levels;
Select the number of trial fuzzy partitions under "Loops";
Select the range of cluster# and data dimensions using "#Clusters" and "#Dim";
Enter the input under "Data", or select "Data" command;
Select "Run" command to run the benchmark. Results will be reported on this webpage.

Please cite us
Thanh Le and Katheleen J. Gardiner, 2011. A validation method for fuzzy clustering of gene expression data, Proc. Intl' Conf. on Bioinformatics and Computational Biology, Vol. 1, pp. 23-29.