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检索条件"主题词=parallel clustering algorithm"
5 条 记 录,以下是1-10 订阅
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Research on parallel clustering algorithms for Heterogeneous Large Data in Complex Network Environment
Research on Parallel Clustering Algorithms for Heterogeneous...
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2019年国际科技创新与教育发展学术会议
作者: Jinfeng Pan Quanzhou University of Information Engineering
Network is the basis of information exchange. With the rapid increase of information, the environment of network has become complex, and the problem of network data diversification is serious. Effective management of ... 详细信息
来源: 评论
parallel Image Scaling Density-based clustering
Parallel Image Scaling Density-based Clustering
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IEEE International Conference on Systems, Man, and Cybernetics (SMC)
作者: Bi, Wenhao Zhang, An Gao, Fei Northwestern Polytech Univ Sch Aeronaut Xian Shaanxi Peoples R China
clustering is one of the most important methods to discover the intrinsic grouping in a set of unlabeled data. As ways of getting data are more various and easier, the amount of data processed is increasing exponentia... 详细信息
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Unsupervised real-time evaluation of optical coherence tomography (OCT) images of solid oral dosage forms
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JOURNAL OF REAL-TIME IMAGE PROCESSING 2022年 第5期19卷 881-892页
作者: Fink, Elisabeth Clarke, Phillip Spoerk, Martin Khinast, Johannes Pharmaceut Engn GmbH Res Ctr Inffeldgasse 13 A-8010 Graz Austria Graz Univ Technol Inst Proc & Particle Engn Inffeldgasse 13 A-8010 Graz Austria
Automatic segmentation of images, which is now feasible through an increase in available computing power, has become an important challenge in many fields. A key technology for obtaining such images is optical coheren... 详细信息
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A Survey of clustering algorithms Based on parallel Mechanism
A Survey of Clustering Algorithms Based on Parallel Mechanis...
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2018 International Conference on Computer Modeling, Simulation and algorithm(CMSA2018)
作者: Xingang Wang Bei Hang University
With the rapid development of the Internet and mobile Internet, the amount of data and information generated by people has dramatically increased. The demand for rapid processing of data by computers has become increa... 详细信息
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Towards a New Approach for Empowering the MR-DBSCAN clustering for Massive Data using Quadtree  20
Towards a New Approach for Empowering the MR-DBSCAN Clusteri...
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20th IEEE International Conference on High Performance Computing and Communications (HPCC) / 16th IEEE International Conference on Smart City (SmartCity) / 4th IEEE International Conference on Data Science and Systems (DSS)
作者: Ibrahim, Rami Shafiq, M. Omair Carleton Univ Sch Informat Technol Ottawa ON Canada
Multiple emerging technologies like social networks and IoT generate huge amounts of data on daily basis. This leads us to analyze and cluster this data, so we can uncover hidden values and patterns. DBSCAN is a power... 详细信息
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