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has been cited by the following article:

• TITLE: On Clustering Algorithms for Biological Data

  AUTHORS: Xiaowan Li, Fei Zhu

  KEYWORDS: Clustering; Algorithms; Biologiocal Data; Applications; Database

  JOURNAL NAME: Engineering, Vol.5 No.10B, December 31, 2013

  ABSTRACT: Age of knowledge explosion requires us not only to have the ability to get useful information which represented by data but also to find knowledge in information. Human Genome Project achieved large amount of such biological data, and people found clustering is a promising approach to analyze those biological data for knowledge hidden. The researches on biological data go to in-depth gradually and so are the clustering algorithms. This article mainly introduces current broad-used clustering algorithms, including the main idea, improvements, key technology, advantage and disadvantage, and the applications in biological field as well as the problems they solve. What’s more, this article roughly introduces some database used in biological field.