JIN Bao-hua, LIN Qing and ZHAO Jia-ming. Application of DBSCAN algorithm based on adjustable threshold in the emergency plan classification management[J]. Journal of Light Industry, 2012, 27(6): 9-13. doi: 10.3969/j.issn.2095-476X.2012.06.003
Citation:
JIN Bao-hua, LIN Qing and ZHAO Jia-ming. Application of DBSCAN algorithm based on adjustable threshold in the emergency plan classification management[J]. Journal of Light Industry, 2012, 27(6): 9-13.
doi:
10.3969/j.issn.2095-476X.2012.06.003
Application of DBSCAN algorithm based on adjustable threshold in the emergency plan classification management
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College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
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Received Date:
2012-06-29
Available Online:
2012-09-16
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Abstract
Aiming at large plan texts resource classification problems, adjustable threshold Eps replaced the original global threshold Eps.An improved DBSCAN clustering algorithm based on density was put forward.The similarity between plan texts was taken as measurement attribute. Improved DBSCAN was applied in the field of plan classification to remove the boundary identification error. The simulation results showed that this method not only does not affect the result in basis classification way, but also have certain reference significance to improve accuracy and reusability of classification.
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