Spatial Cluster Analysis by the Adleman-Lipton DNA Computing Model and Flexible Grids
2012 ◽
Vol 2012
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pp. 1-32
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Keyword(s):
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.
2013 ◽
Vol 2013
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pp. 1-8
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Keyword(s):
2018 ◽
Vol 5
(86)
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pp. 25-35
2017 ◽
Vol 3
(2)
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pp. 171-181
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2012 ◽
Vol 39
(2)
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pp. 1753-1762
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2015 ◽
Vol 209
(3-4)
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pp. 242-253
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Keyword(s):
2013 ◽
Vol 19
(1)
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pp. 011021
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Keyword(s):