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Title: |
A Model of Clustering Uncertain Data |
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Source: |
The Conference on Web Based Business Management (WBM 2010 E-BOOK)
(pp 969-972)
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Author(s): |
Zengfang Yang, School of Information Technology and Engineering, Yuxu Normal University, Yuxu 653100,China
Hewen Tang, School of Information Technology and Engineering, Yuxu Normal University, Yuxu 653100,China |
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Abstract: |
In this paper we presented a model clustering uncertain data, first, generate M possible worlds by using Monte Carlo simulation data uncertainty, and then ,using DBSCAN algorithm to establish local clustering model on each possible world, finally, the M local clustering models combined into a global clustering model. Furthermore, new approach offers the possibility of creating the local clustering models in parallel, with this parallelism we wish can achieve better time performance and clustering quality.
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