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Spatial Cluster Analysis by the Bin-Packing Problem and DNA Computing Technique

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  • Xiyu Liu
  • Jie Xue

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 sticker systems of DNA computing. We will adopt the Bin-Packing Problem idea and then design algorithms of sticker programming. The proposed technique has a better time complexity. In the case when only the intracluster dissimilarity is taken into account, this time complexity is polynomial in the amount of data points, which reduces the NP-completeness nature of spatial cluster analysis. The new technique provides an alternative method for traditional cluster analysis.

Suggested Citation

  • Xiyu Liu & Jie Xue, 2013. "Spatial Cluster Analysis by the Bin-Packing Problem and DNA Computing Technique," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-8, April.
    • Handle: RePEc:hin:jnddns:891428
    DOI: 10.1155/2013/891428
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