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	Performance Comparison of Clustering Methods for Gene Family Data
	Wei dan; Jiang qingshan
	2011
会议名称	2011 International Conference on Frontiers in Computer Education
会议地点	USA
英文摘要	Clustering gene sequences into families is important for understanding and predicting gene function. Many clustering algorithms and alignment-free similarity measures have been used to analyze gene family. The clustering results can be influenced by the similarity measure and clustering algorithm used. We compare the results from running four commonly used clustering methods, including K-means, single-linkage clustering, complete-linkage clustering and average-linkageclustering, on three alignment-free similarity measures. We try to find out which method should provide the best clustering result based on real-world gene familydatasets. Experiment results show that average-linkage clustering with our similarity measure, DMk, performed best. © 2012 Springer-Verlag GmbH Berlin Heidelberg.(15 refs)
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3581]
专题	深圳先进技术研究院_数字所
作者单位	2011
推荐引用方式 GB/T 7714	Wei dan,Jiang qingshan. Performance Comparison of Clustering Methods for Gene Family Data[C]. 见:2011 International Conference on Frontiers in Computer Education. USA.

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