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	An improved WKNN indoor fingerprinting positioning algorithm based on adaptive hierarchical clustering
	Li, Jian[1]; Fu, Jingqi[2]; Li, Ang[3]; Bao, Weihua[4]; Gao, Zhengming[5]
	2017
会议名称	International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017
会议日期	2017-09-22
页码	253-262
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/2182277
专题	上海大学
作者单位	[1]School of Mechatronic Engineering and Automation, Shanghai University, NO. 149 Yanchang Road, JingAn District, Shanghai, 200072, China [2]School of Mechatronic Engineering and Automation, Shanghai University, NO. 149 Yanchang Road, JingAn District, Shanghai, 200072, China [3]School of Mechatronic Engineering and Automation, Shanghai University, NO. 149 Yanchang Road, JingAn District, Shanghai, 200072, China [4]Shanghai Automation Instrumentation Co., Ltd., Shanghai, China[5]Shanghai Automation Instrumentation Co., Ltd., Shanghai, China
推荐引用方式 GB/T 7714	Li, Jian[1],Fu, Jingqi[2],Li, Ang[3],et al. An improved WKNN indoor fingerprinting positioning algorithm based on adaptive hierarchical clustering[C]. 见:International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017. 2017-09-22.

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