Approach of clustering ensemble in gene expression data based on Wavelet De-noising / 重庆医科大学学报
Journal of Chongqing Medical University
;
(12)2003.
Article
in Chinese
| WPRIM
| ID: wpr-580975
ABSTRACT
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Language:
Chinese
Journal:
Journal of Chongqing Medical University
Year:
2003
Type:
Article
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