Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible Grids

Xiyu Liu, Laisheng Xiang and Xin Wang

Discrete Dynamics in Nature and Society, 2012, vol. 2012, 1-32

Abstract:

Spatial cluster analysis is an important data-mining task. Typical techniques include CLARANS, density- and gravity-based clustering, and other algorithms based on traditional von Neumann’s computing architecture. The purpose of this paper is to propose a technique for spatial cluster analysis based on DNA computing and a grid technique. We will adopt the Adleman-Lipton model and then design a flexible grid algorithm. Examples are given to show the effect of the algorithm. The new clustering technique provides an alternative for traditional cluster analysis.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:894207

DOI: 10.1155/2012/894207

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