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Meteorological Data Analyze Base on K-means Algorithm

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4 Author(s)
Huang Jinghua ; Sch. of Mech., Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China ; Wang Zhenchong ; Yuan Mei ; Bao Youwen

The paper proposed a clustering method of decade observation data based on k-means algorithm, which adjusted the weight influence to similarity function by the missing values handling and scaling of range fields. This paper discussed the way to select initial cluster centers and the process of calculating cluster centers and assigning records to clusters. The test indicated the k-means algorithm had effective clustering result.

Published in:

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on  (Volume:2 )

Date of Conference:

12-14 Dec. 2009