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

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...

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Main Authors: Xiyu Liu, Laisheng Xiang, Xin Wang
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2012/894207
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author Xiyu Liu
Laisheng Xiang
Xin Wang
author_facet Xiyu Liu
Laisheng Xiang
Xin Wang
author_sort Xiyu Liu
collection DOAJ
description 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.
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institution OA Journals
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publishDate 2012-01-01
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series Discrete Dynamics in Nature and Society
spelling doaj-art-b64602bfc0f641aaa259e6bd2e5b0b0d2025-08-20T02:23:09ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2012-01-01201210.1155/2012/894207894207Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible GridsXiyu Liu0Laisheng Xiang1Xin Wang2School of Management Science and Engineering, Shandong Normal University, 250014 Jinan, ChinaSchool of Management Science and Engineering, Shandong Normal University, 250014 Jinan, ChinaSchool of Management Science and Engineering, Shandong Normal University, 250014 Jinan, ChinaSpatial 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.http://dx.doi.org/10.1155/2012/894207
spellingShingle Xiyu Liu
Laisheng Xiang
Xin Wang
Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible Grids
Discrete Dynamics in Nature and Society
title Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible Grids
title_full Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible Grids
title_fullStr Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible Grids
title_full_unstemmed Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible Grids
title_short Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible Grids
title_sort spatial cluster analysis by the adleman lipton dna computing model and flexible grids
url http://dx.doi.org/10.1155/2012/894207
work_keys_str_mv AT xiyuliu spatialclusteranalysisbytheadlemanliptondnacomputingmodelandflexiblegrids
AT laishengxiang spatialclusteranalysisbytheadlemanliptondnacomputingmodelandflexiblegrids
AT xinwang spatialclusteranalysisbytheadlemanliptondnacomputingmodelandflexiblegrids