A Comparison Of Validation Indices For Evaluation Of Clustering Results Of DNA Microarray Data

摘要：

In this paper we assess the clustering results of gene expression (microarray) data by using different validation indices. We perform k-means clustering and evaluate the results by using three validation indices: Silhouette, Davies-Bouldins and our proposed BR index. For performing the experiments we use our implementation of these measures in MATLAB. From the comparison of the validation indices we can conclude that BR index has better decreasing tendency depending on the number of clusters than Davies Bouldins index for yeast microarray dataset.

关键词： clustering microarray data validation indez bioinformatics

作者: Blagoj Ristevski Suzana Loshkovska Sasho Dzeroski Ivica Slavkov

作者单位: Department of Computer Science and Informatics Faculty of Electrical Eng. and Information Technologi Department of Knowledge Technologies Jozef Stefan Institute Ljubljana, Slovenia

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 587-591

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）