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检索条件"主题词=Clustering Algorithms"
51277 条 记 录,以下是491-500 订阅
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Deep Multirepresentation Learning for Data clustering
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年 第11期35卷 15675-15686页
作者: Sadeghi, Mohammadreza Armanfard, Narges McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 0E9 Canada Mila Quebec AI Inst Montreal PQ H2S 3H1 Canada
Deep clustering incorporates embedding into clustering in order to find a lower-dimensional space suitable for clustering tasks. Conventional deep clustering methods aim to obtain a single global embedding subspace (a... 详细信息
来源: 评论
Consensus clustering With Co-Association Matrix Optimization
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年 第3期35卷 4192-4205页
作者: Shi, Yifan Yu, Zhiwen Chen, C. L. Philip Zeng, Huanqiang Huaqiao Univ Sch Engn Quanzhou 362021 Peoples R China South China Univ Technol Sch Comp Sci & Engn Guangzhou 510006 Peoples R China Pengcheng Lab Shenzhen 518066 Peoples R China
Consensus clustering can derive a more promising and robust clustering result by integrating multiple partitions strategically. However, there are several limitations in the existing approaches: 1) most of the methods... 详细信息
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MGNR: A Multi-Granularity Neighbor Relationship and Its Application in KNN Classification and clustering Methods
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024年 第12期46卷 7956-7972页
作者: Xie, Jiang Xiang, Xuexin Xia, Shuyin Jiang, Lian Wang, Guoyin Gao, Xinbo Chongqing Univ Telecommun & Posts Chongqing Key Lab Computat Intelligence Chongqing 400065 Peoples R China
In the real world, data distributions often exhibit multiple granularities. However, the majority of existing neighbor-based machine-learning methods rely on manually setting a single-granularity for neighbor relation... 详细信息
来源: 评论
EDMC: Efficient Multi-View clustering via Cluster and Instance Space Learning
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IEEE TRANSACTIONS ON MULTIMEDIA 2024年 26卷 5273-5283页
作者: Qin, Yalan Pu, Nan Wu, Hanzhou Shanghai Univ Sch Commun & Informat Engn Shanghai 200444 Peoples R China Univ Trento Dept Informat Engn & Comp Sci I-40128 Trento Italy
Multi-view subspace clustering aims to cluster the data lying in a union of subspaces with low dimensions. The commonly used spectral clustering performs the final clustering based on an n x n affinity graph, which su... 详细信息
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Graph Contrastive Learning for clustering of Multi-Layer Networks
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IEEE TRANSACTIONS ON BIG DATA 2024年 第4期10卷 429-441页
作者: Yang, Yifei Ma, Xiaoke Xidian Univ Sch Comp Sci & Technol Key Lab Smart Human Comp Interact & Wearable Techn Xian 710071 Peoples R China
Multi-layer networks precisely model complex systems in society and nature with various types of interactions, and identifying conserved modules that are well-connected in all layers is of great significance for revea... 详细信息
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A Distributed Higher-Order k-Medoids clustering Algorithm for Network Partition
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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2024年 第5期11卷 4181-4193页
作者: Mo, Yuanqiu Xing, Ran Hou, Huazhou Southeast Univ Nanjing 211189 Peoples R China Univ Sydney Sydney NSW 2006 Australia Purple Mt Labs Nanjing 211102 Peoples R China
In this paper, we develop a distributed higher-order k-medoids clustering algorithm for networks using hop count as the distance metric, typical examples include social networks, wireless sensor networks and etc. Diff... 详细信息
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Energy-Balanced Routing Protocol With Nonuniform clustering for Underwater Acoustic Sensors Networks
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IEEE SENSORS JOURNAL 2024年 第22期24卷 38082-38091页
作者: Jin, Zhigang Li, Haoyong Wang, Ying Liang, Jiawei Cheng, Simeng Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China
Energy consumption has been the focus of routing protocols in underwater acoustic sensor networks (UASNs), and many cluster-based routing protocols have been proposed to optimize energy consumption. However, there is ... 详细信息
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Design and Hardware Implementation of Low-Latency 4-Splitting Tree-Structure-Based K-Means clustering Trainer and Classifier Chip for Detecting Cybersecurity Attacks
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2025年 第4期72卷 613-617页
作者: Shih, Xin-Yu Chen, Hsi-Cheng Hung, Xin-Liang MediaTek Dept Wireless Connect Network Hsinchu 300 Taiwan Natl Sun Yat Sen Univ Dept Elect Engn Kaohsiung 804 Taiwan
In this brief, we propose a first system chip architecture of 4-splitting tree-structure-based K-means clustering trainer and classifier. It mainly aims to efficiently detect cybersecurity attacks in the emerging AI-d... 详细信息
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Fuzzy clustering From Subset-clustering to Fullset-Membership
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IEEE TRANSACTIONS ON FUZZY SYSTEMS 2024年 第9期32卷 5359-5370页
作者: Chen, Huimin Duan, Yu Nie, Feiping Wang, Rong Li, Xuelong Northwestern Polytech Univ Sch Comp Sci Sch Artificial Intelligence Opt & Elect iOPEN Xian 710072 Peoples R China Northwestern Polytech Univ Key Lab Intelligent Interact & Applicat Minist Ind & Informat Technol Xian 710072 Peoples R China Northwestern Polytech Univ Sch Artificial Intelligence Opt & Elect iOPEN Xian 710072 Peoples R China
Fuzzy theory, which extends precise binary logic to continuous fuzzy logic, provides an effective tool for uncertainty problems in machine learning and thus, evolved fuzzy methods such as fuzzy c-means and fuzzy graph... 详细信息
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DGBPSO-DBSCAN: An Optimized clustering Technique Based on Supervised/Unsupervised Text Representation
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IEEE ACCESS 2024年 12卷 110798-110812页
作者: Abdulsahib, Asma Khazaal Balafar, M. A. Baradarani, Aryaz Univ Tabriz Fac Elect & Comp Engn Tabriz *** East Azerbaijan Iran Tessonics Inc Ctr Diagnost Imaging Res Windsor ON N9A Canada
Density-based spatial clustering of noisy applications (DBSCAN), a widely used density-based clustering technique, faces challenges in determining its key parameter, Eps, leading to manual specification and suboptimal... 详细信息
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