Title :
Clustering Analysis of Micro-array Data Based on the SOM Algorithm
Author :
Xiuming Zou ; Huaijiang Sun
Author_Institution :
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
In this paper, characteristics of gene micro-array data are combined, the clustering analysis principle of the self-organizing map (SOM) is discussed, and experiments are conducted on the basis of public gene expression data sets. The experimental results show that the SOM network has higher classification accuracy and is available for the clustering analysis of gene expression data.
Keywords :
bioinformatics; pattern clustering; self-organising feature maps; SOM algorithm; clustering analysis; gene micro-array data; public gene expression data sets; self-organizing map; Algorithm design and analysis; Arrays; Clustering algorithms; Educational institutions; Gene expression; Neurons; Training; cluster; micro-array; self organizing map;
Conference_Titel :
Computational Intelligence and Security (CIS), 2013 9th International Conference on
Conference_Location :
Leshan
Print_ISBN :
978-1-4799-2548-3
DOI :
10.1109/CIS.2013.72
