title: A CLIQUE algorithm using DNA computing techniques based on closed-circle DNA sequences.
abstract: DNA computing has been applied in broad fields such as graph theory, finite state problems, and combinatorial problem. DNA computing approaches are more suitable used to solve many combinatorial problems because of the vast parallelism and high-density storage. The CLIQUE algorithm is one of the gird-based clustering techniques for spatial data. It is the combinatorial problem of the density cells. Therefore we utilize DNA computing using the closed-circle DNA sequences to execute the CLIQUE algorithm for the two-dimensional data. In our study, the process of clustering becomes a parallel bio-chemical reaction and the DNA sequences representing the marked cells can be combined to form a closed-circle DNA sequences. This strategy is a new application of DNA computing. Although the strategy is only for the two-dimensional data, it provides a new idea to consider the grids to be vertexes in a graph and transform the search problem into a combinatorial problem.
authors.affiliation: School of Management and Economics, Shandong Normal University, Jinan 250014, China. zswanz@yahoo.com.cn
authors.forename: Hongyan
authors.initials: H
authors.lastname: Zhang
authors.forename: Xiyu
authors.initials: X
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D016000:Cluster Analysis; D003198:Computer Simulation; D039301:Computers, Molecular; D004247:DNA; D057225:Data Mining
chemical_list: D004247:DNA