文献类型：会议论文

英文题名：Meteorological Data Analyze Base on k-means algorithm

作者：Wang Zhenchong[1];Huang Jinghua[1,2];Mei, Yuan[2];Bao Youwen[2]

第一作者：Wang Zhenchong

通讯作者：Huang, JH[1]

机构：[1]China Univ Min Technol, Sch Mech Elect & Informat Engn, Beijing, Peoples R China;[2]Beijing Union Univ, Informat Sch, Beijing, Peoples R China

第一机构：China Univ Min Technol, Sch Mech Elect & Informat Engn, Beijing, Peoples R China

通讯机构：[1]corresponding author), China Univ Min Technol, Sch Mech Elect & Informat Engn, Beijing, Peoples R China.

会议论文集：2nd International Symposium on Computational Intelligence and Design

会议日期：DEC 12-14, 2009

会议地点：Changsha, PEOPLES R CHINA

语种：英文

外文关键词：k-means algorithm; clustering; meteorological data

摘要：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.