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Cluster analysis of gene expression data is one of the most useful tools for identifying biologically relevant groups of genes, however, gene expression data suffer severely from the problems of measurement noise, dimension curse, high redundancy between genes, and the functional annotation of genes is incomplete and imprecise. These properties lead to most of the traditional clustering algorithms...
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