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The hierarchical clustering algorithm is one of the clustering algorithms used widely. The typical character of the hierarchical clustering algorithm is to find the “shortest” patterns. But it is not to ensure that to find the global optimal result by adding the shortest pattern each time. In this paper, we use DNA computing to solve this problem. Because during the ligation of the DNA strands, the...
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...
This paper presents a design evaluation technique by DNA neural trees. We propose a new DNA tree computing model to represent a neural tree. The optimization of the neural tree is performed by the DNA operations. This is a new technique different with other evolutionary optimization methods and scale well for large optimizations. Finally, we present an application framework in conceptual architectural...
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