Approach of clustering ensemble in gene expression data based on Wavelet De-noising / 重庆医科大学学报

Objective:To provide the methodology reference for the gene expression data clustering.Methods:This paper proposed a fuzzy clustering ensemble algorithm based on wavelet de-noising.The new method is applied to the yeast cell's gene expression data,and the clustering results were compared with fuzzy ensemble clustering methods.Results:Apply micro-precision to evaluate the clustering results.The research indicated that the proposed method was superior to fuzzy ensemble clustering algotuthm.Conclusion:The proposed method has better clustering for the gene expression data clustering.