A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data

Ricardo J. G. B. Campello,Davoud Moulavi,Joerg Sander

IEEE/ACM Trans. Comput. Biology Bioinform.（2012）

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摘要

In [CHECK END OF SENTENCE], the authors proposed a framework for automated clustering and visualization of biological data sets named AUTO-HDS. This letter is intended to complement that framework by showing that it is possible to get rid of a user-defined parameter in a way that the clustering stage can be implemented more accurately while having reduced computational complexity

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关键词

Clustering algorithms,Complexity theory,Data mining,Data visualization,Bioinformatics

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