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检索条件"主题词=clustering algorithms"
51575 条 记 录,以下是421-430 订阅
排序:
Toward Autonomous Distributed clustering
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2025年 第2期9卷 2065-2072页
作者: Yang, Jie Lin, Chin-Teng Univ Technol Sydney Australian AI Inst GrapheneX UTS HAI Ctr Computat Intelligence & Brain Comp Interface LabS Sydney Australia
Compared to traditional centralized clustering, distributed clustering offers the advantage of parallel processing of data from different sites, enhancing the efficiency of clustering while preserving the privacy of t... 详细信息
来源: 评论
A Dictionary-Enhanced clustering Compressive Sensing Routing Protocol for Large-Scale WSNs
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IEEE SENSORS JOURNAL 2025年 第4期25卷 7445-7456页
作者: Tong, Junjie Shou, Shenwei Wang, Hui Zhejiang Normal Univ Sch Comp Sci & Technol Jinhua 321004 Peoples R China
Designing an efficient energy-saving routing protocol to optimize network lifespan is a pivotal challenge in large-scale wireless sensor networks (WSNs). In this article, a dictionary-enhanced clustering compressive s... 详细信息
来源: 评论
EM-Based Algorithm for Unsupervised clustering of Measurements from a Radar Sensor Network
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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2025年 第1期61卷 787-801页
作者: Yan, Linjie Addabbo, Pia Fiscante, Nicomino Clemente, Carmine Hao, Chengpeng Giunta, Gaetano Orlando, Danilo Chinese Acad Sci Inst Acoust Beijing 100190 Peoples R China Univ Giustino Fortunato I-8210 Benevento Italy Univ Roma Tre Ind Elect & Mech Engn Dept I-00146 Rome Italy Univ Strathclyde Dept Elect & Elect Engn Glasgow G1 1XW Scotland Univ Pisa Dipartimento Ingn Informaz I-56122 Pisa Italy
This article deals with the problem of clustering data returned by a radar sensor network that monitors a region where multiple moving targets are present. The network is formed by nodes with limited functionalities t... 详细信息
来源: 评论
Contrastive Ensemble clustering
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2025年 PP卷 PP页
作者: Chen, Man-Sheng Lin, Jia-Qi Wang, Chang-Dong Huang, Dong Lai, Jian-Huang Sun Yat Sen Univ Sch Comp Sci & Engn Guangzhou 510275 Peoples R China Sun Yat Sen Univ Guangdong Key Lab Big Data Anal & Proc Guangzhou 510275 Peoples R China Guangxi Zhuang Autonomous Reg Informat Ctr Guangxi Key Lab Digital Infrastructure Nanning 530201 Peoples R China Sun Yat Sen Univ Sch Math Zhuhai Guangzhou 510275 Peoples R China South China Univ Dept Comp Sci Guangzhou 510640 Peoples R China Sun Yat sen Univ Sch Comp Sci & Engn Guangdong Key Lab Informat Secur Technol Minist Educ Guangzhou 510275 Peoples R China Sun Yat sen Univ Key Lab Machine Intelligence & Adv Comp Minist Educ Guangzhou 510275 Peoples R China
Ensemble clustering aims to combine different base clusterings into a better clustering than that of the individual one. In general, a co-association matrix depicting the pairwise affinity between different data sampl... 详细信息
来源: 评论
Local High-Order Graph Learning for Multi-View clustering
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IEEE TRANSACTIONS ON BIG DATA 2025年 第2期11卷 761-773页
作者: Wang, Zhi Lin, Qiang Ma, Yaxiong Ma, Xiaoke Xidian Univ Sch Comp Sci & Technol Xian 710071 Peoples R China Northwest Minzu Univ Sch Math & Informat Lanzhou 730030 Peoples R China
As the accumulation of multi-view data continues to grow, multi-view clustering has become increasingly important in research fields like data mining. However, current methods have been criticized for their unsatisfac... 详细信息
来源: 评论
Efficient Solvers for Wyner Common Information With Application to Multi-Modal clustering
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IEEE TRANSACTIONS ON INFORMATION THEORY 2025年 第3期71卷 2054-2074页
作者: Huang, Teng-Hui El Gamal, Hesham Univ Sydney Sch Elect & Comp Engn Camperdown NSW 2050 Australia Univ Sydney Fac Engn Camperdown NSW 2050 Australia
In this work, we propose computationally efficient solvers for novel extensions of Wyner common information. By separating information sources into bipartite, the proposed Bipartite common information framework has di... 详细信息
来源: 评论
Image clustering With Transition Probabilities Learning
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IEEE TRANSACTIONS ON IMAGE PROCESSING 2025年 34卷 1441-1453页
作者: Xue, Xingyu Zhao, Wenhui Gao, Quanxue Yang, Ming Deng, Cheng Xidian Univ Sch Telecommun Engn Xian 710071 Peoples R China Harbin Engn Univ Coll Math Sci Harbin 150001 Heilongjiang Peoples R China Xidian Univ Sch Elect Engn Xian 710071 Peoples R China
Large-scale multi-view clustering for image data has achieved impressive clustering performance and efficiency. However, most methods lack interpretability in clustering and do not fully consider the complementarity o... 详细信息
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Distributed Resilient clustering Algorithm for Virtual Power Plants Under Cyber Attacks
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IEEE ACCESS 2025年 13卷 38714-38725页
作者: Wu, Jia Sun, Yifan Qian, Jinyue Cui, Yin Wang, Qian Zhuo, Li Pinghu Power Supply Co State Grid Zhejiang Elect Power Co Ltd Jiaxing 314200 Peoples R China
In this paper, the resilient control issue of virtual power plants (VPPs) under hybrid cyber attacks, specifically focusing on denial-of-service (DoS) and false data injection (FDI) attacks is first addressed. To solv... 详细信息
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Detecting attacks on the internet of things network in the computing fog layer with an embedded learning approach based on clustering and blockchain
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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2025年 第4期28卷 1-31页
作者: Abdolmanan, Goushlavandani Babaei Bayat, Peyman Ekbatanifard, Gholamhossein Islamic Azad Univ Dept Comp Engn Rasht Branch Rasht Iran Islamic Azad Univ Dept Comp Engn Lahijan Branch Lahijan Gilan Iran
The internet of things (IoT) is exposed to various cyber attacks that target its security. An intrusion detection system (IDS) in the IoT must be able to detect attacks and their types and identify complex and new att... 详细信息
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Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and clustering
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2025年 第5期47卷 3611-3624页
作者: Xu, Ruiyu Wang, Chao Li, Yongxiang Wu, Jianguo Peking Univ Dept Ind Engn & Management Beijing 100871 Peoples R China Univ Iowa Dept Ind & Syst Engn Iowa City IA 52242 USA Shanghai Jiao Tong Univ Dept Ind Engn & Management Shanghai 200240 Peoples R China
Dictionary learning is an effective tool for pattern recognition and classification of time series data. However, real-world time series data often exhibit temporal misalignment due to temporal delay, scaling or other... 详细信息
来源: 评论