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科研机构

北京航空航天大学 [9]

西安交通大学 [7]

西安理工大学 [6]

兰州理工大学 [5]

武汉大学 [5]

大连理工大学 [4]

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期刊论文 [40]

会议论文 [22]

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2018 [64]

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浏览/检索结果: 共64条，第1-10条

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发表日期：2018

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	A method of image processing with QR code ablated on rough and highly reflective metal surface by laser 会议论文 Shanghai, China, October 12, 2018 - October 14, 2018 作者: Li, Jianhua; Shen, Zhi; Yan, Chaoning; Dong, Nan; Liang, Haimin 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/11/15 Aluminum castings Classification (of information) Codes (symbols) Ingots K-means clustering Morphology Textures Aluminum ingots Color features Highly reflective Metal surfaces Method of images Multi-feature fusion Otsu algorithm Texture features
	An improved density peaks clustering algorithm with fast finding cluster centers 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2018, 卷号: 158, 页码: 65-74 作者: Xu, Xiao; Ding, Shifei; Shi, Zhongzhi 收藏 \| 浏览/下载：35/0 \| 提交时间：2019/12/10 Density peaks clustering algorithm Prescreening strategy Large-scale data set Decision graph Computational complexity
	Distributed Consensus-Based K-Means Algorithm in Switching Multi-Agent Networks 期刊论文 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2018, 卷号: 31, 期号: 5, 页码: 1128-1145 作者: Lin Peng; Wang Yinghui; Qi Hongsheng; Hong Yiguang 收藏 \| 浏览/下载：24/0 \| 提交时间：2018/09/08 Consensus-based algorithm distributed K-means clustering multi-agent network switching topology
	On the Risk Assessment of Terrorist Attacks Coupled with Multi-Source Factors 期刊论文 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 卷号: 7, 期号: 9, 页码: 19 作者: Zhang, Xun; Jin, Min; Fu, Jingying; Hao, Mengmeng; Yu, Chongchong 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/05/23 location recommendation algorithm risk assessment terrorist attacks multi-source factors spatial clustering
	An Improved Spectral Clustering Algorithm Based on Axiomatic Fuzzy Set 期刊论文 JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 卷号: 40, 期号: 8, 页码: 1904-1910 作者: Zhao Xiaoqiang; Liu Xiaoli 收藏 \| 浏览/下载：0/0 \| 提交时间：2022/03/01 Affinity matrix Spectral clustering Axiomatic Fuzzy Set (AFS) Nystrom sampling algorithm
	An Improved Spectral Clustering Algorithm Based on Axiomatic Fuzzy Set 期刊论文 Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2018, 卷号: 40, 期号: 8, 页码: 1904-1910 作者: Zhao, Xiaoqiang; Liu, Xiaoli 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/11/14 Fuzzy sets Image segmentation Learning algorithms Matrix algebra Affinity matrix Axiomatic fuzzy sets Euclidean distance Sampling algorithm Similarity matrix Similarity measure Spectral clustering Spectral clustering algorithms
	A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography 期刊论文 JOURNAL OF BIOPHOTONICS, 2018, 卷号: 11, 期号: 4 作者: Guo, Hongbo; Yu, Jingjing; Hu, Zhenhua; Yi, Huangjian; Hou, Yuqing 收藏 \| 浏览/下载：33/0 \| 提交时间：2018/10/10 Bioluminescence Tomography Hybrid Clustering Algorithm In Vivo Optical imagIng Multiple-source Resolving
	Application of adaptive NWFE-KFCM algorithm in fault identification of rotating machinery 期刊论文 Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2018, 卷号: 24, 期号: 4, 页码: 820-828 作者: Zhao, Rongzhen; Sun, Yebei; Deng, Linfeng 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/11/14 Cluster analysis Extraction Failure analysis Feature extraction Fuzzy systems Rotating machinery Clustering analysis Clustering evaluation Clustering number Fault identifications Fuzzy C mean Nonparametric weighted feature extractions Optimal clustering Performance of algorithm
	An optimized chameleon algorithm based on local features 会议论文 Macau, China, 2 26, 2018 - 2 28, 2018 作者: Cao, Xiaoxiao; Su, Tianyun; Wang, Pengyu; Wang, Guoyu; Lv, Zhihan 收藏 \| 浏览/下载：8/0 \| 提交时间：2018/12/12 CHAMELEON algorithm Hierarchical clustering Local features Grid structure Adaptive neighbor graph Extremely close points
	Research on Abnormal Detection Based on Improved Combination of K - Means and SVDD 会议论文 Ottawa, ON, Canada, September 13, 2017 - September 15, 2017 作者: Hao, Xiaohong; Zhang, Xiaofeng 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Errors Image resolution Intrusion detection K-means clustering Network security Sampling Signal detection Statistical tests Abnormal detection Anomaly-detection algorithms False alarm rate High detection rate Improved K-Means algorithm Network intrusion detection Security protection Training sample

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