孔令桥, 秦昆, 龙腾飞. 利用二型模糊聚类进行全球海表温度数据挖掘[J]. 武汉大学学报 ( 信息科学版), 2012, 37(2): 215-219.
引用本文: 孔令桥, 秦昆, 龙腾飞. 利用二型模糊聚类进行全球海表温度数据挖掘[J]. 武汉大学学报 ( 信息科学版), 2012, 37(2): 215-219.
KONG Lingqiao, QIN Kun, LONG Tengfei. Global SST Data Mining Based on Fuzzy Clustering[J]. Geomatics and Information Science of Wuhan University, 2012, 37(2): 215-219.
Citation: KONG Lingqiao, QIN Kun, LONG Tengfei. Global SST Data Mining Based on Fuzzy Clustering[J]. Geomatics and Information Science of Wuhan University, 2012, 37(2): 215-219.

利用二型模糊聚类进行全球海表温度数据挖掘

Global SST Data Mining Based on Fuzzy Clustering

  • 摘要: 基于二型模糊集的C均值聚类方法对全球时序海表温度数据进行了聚类分析,得到全球海表温度异常的典型聚类模式,并从聚类中心挖掘出潜在的海洋气候指数。

     

    Abstract: This paper implements global SST clustering analysis using C-means clustering method based on type 2 fuzzy sets,from which the typical clustering patterns of SST anomaly are discovered,and the potential ocean climate indices are discovered from the clustering patterns.

     

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