文章基本信息

标题：A Survey on Clustering based Meteorological Data Mining
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作者：Wei Tian ; Yuhui Zheng ; Runzhi Yang 等
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2014
卷号：7
期号：6
页码：229-240
DOI：10.14257/ijgdc.2014.7.6.19
出版社：SERSC
摘要：Data mining is an important tool in meteorological problems solved. Cluster analysis techniques in data mining play an important role in the study of meteorological applications. The research progress of the clustering algorithms in meteorology in recent years is summarized in this paper. First, we give a brief introduction of the principles and characteristics of the clustering algorithms that are commonly used in meteorology. On the other hand, the applications of clustering algorithms in meteorology are analyzed, and the relationship between the various clustering algorithms and meteorological applications are summarized. Then we interpret the relationship from the perspectives of algorithms' characteristics and practical applications. Finally, some main research issues and directions of the clustering algorithms in meteorological applications are pointed out.
关键词：data mining; clustering; meteorological applications