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.