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检索条件"主题词=clustering algorithms"
51277 条 记 录,以下是321-330 订阅
排序:
Estimating the Number of Clusters Based on Sequential clustering algorithms  5
Estimating the Number of Clusters Based on Sequential Cluste...
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5th Brazilian Conference on Intelligent Systems (BRACIS)
作者: Real, Eduardo Machado Univ Estadual Mato Grosso do Sul UEMS Nova Andradina MS Brazil
The main goal of clustering algorithms is to organize a given set of data patterns into groups (clusters) and their main strategy is to group patterns based on their similarity. However, some clustering algorithms als... 详细信息
来源: 评论
Application of Line clustering algorithms for Improving Road Feature Detection  19
Application of Line Clustering Algorithms for Improving Road...
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19th IEEE International Conference on Intelligent Transportation Systems (ITSC)
作者: Poggenhans, Fabian Hellmund, Andre-Marcel Stiller, Christoph FZI Res Ctr Informat Technol Mobile Percept Syst D-76131 Karlsruhe Germany Karlsruhe Inst Technol Inst Measurement & Control Syst D-76131 Karlsruhe Germany
Although many algorithms have been proposed for the camera-based detection of road features (such as road markings, curbstones and road borders), truly contextual or relational information between the detections is ra... 详细信息
来源: 评论
Privacy-Awareness of Distributed Data clustering algorithms Revisited  15th
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15th International Symposium on Intelligent Data Analysis (IDA)
作者: da Silva, Josenildo C. Klusch, Matthias Lodi, Stefano Inst Fed Maranhao IFMA Dept Informat Av Getulio Vargas 04 BR-65030005 Sao Luis MA Brazil DFKI GmbH Stuhlsatzenhausweg 3Campus D3-2 D-66123 Saarbrucken Germany Dipartimento Informat Sci & Ingn Viale Risorgimento 2 Bologna Italy
Several privacy measures have been proposed in the privacy-preserving data mining literature. However, privacy measures either assume centralized data source or that no insider is going to try to infer some informatio... 详细信息
来源: 评论
Improving kernel soft subspace clustering algorithms using a Particle Swarm Optimization  2016
Improving kernel soft subspace clustering algorithms using a...
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1st Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2016
作者: Amel, Hebboul Fella, Hachouf Université Constantine 2 - Abdelhamid Mehri-Ali Mendjeli Constantine25000 Algeria Laboratore d'Automatique and Robotique Département d'Electronique Faculté des sciences de la Technologie Université Freres Mentouri Route Ain Elbey Constantine25000 Algeria
In classification task, kernel functions are used to make possible to partition data that are linearly non-separable. In this paper, a Particle Swarm Optimization (PSO) is used to obtain optimal cluster centres, their... 详细信息
来源: 评论
Matrix clustering algorithms for vertical partitioning problem: An initial performance study  18
Matrix clustering algorithms for vertical partitioning probl...
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18th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016
作者: Galaktionov, Viacheslav Chernishev, George Novikov, Boris Grigoriev, Dmitry A. Saint-Petersburg State University Saint-Petersburg Russia JetBrains Research Saint-Petersburg Russia
Matrix clustering algorithms are among the oldest approaches to the vertical partitioning problem. They can be summarized as follows: (1) given a workload, construct an Attribute Usage Matrix (AUM), (2) apply some kin... 详细信息
来源: 评论
High quality horizon mapping using clustering algorithms  78
High quality horizon mapping using clustering algorithms
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78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential
作者: Figueiredo, A.M. Peçanha, J.P. Faustino, G.M. Silva, P.M. Gattass, M. Tecgraf/PUC-Rio Brazil
In this paper, we present a clustering based method used to process 3D seismic data and automatically map seismic horizons in the presence of discontinuities. Our approach uses the cosine of instantaneous phase attrib... 详细信息
来源: 评论
K-means and fuzzy relational eigenvector centrality-based clustering algorithms for defensive islanding
K-means and fuzzy relational eigenvector centrality-based cl...
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2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016
作者: Mahdi, Mohammed Genc, V. M. Istemihan Department of Electrical Engineering Istanbul Technical University Istanbul Turkey
Among the power system corrective controls, defensive islanding is considered as the last resort to secure the system from severe cascading contingencies. The primary motive of defensive islanding is to limit the affe... 详细信息
来源: 评论
The best clustering algorithms in data mining
The best clustering algorithms in data mining
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2016 International Conference on Communication and Signal Processing, ICCSP 2016
作者: Archana Patel, K.M. Thakral, Prateek Computer Application Department NIT Kurukshetra Haryana India
In data mining, clustering is the most popular, powerful and commonly used unsupervised learning technique. It is a way of locating similar data objects into clusters based on some similarity. clustering algorithms ca... 详细信息
来源: 评论
Development of ensemble of clustering algorithms based on varying distances metrics  18
Development of ensemble of clustering algorithms based on va...
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18th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016
作者: Bochkaryov, Pyotr V. Kireev, Vasiliy S. National Research Nuclear University "MEPhI" Moscow Russian Federation Russia
Currently there is an active accumulation of big data in various information environments, such as social, corporate, scientific and other domains. Intensive use of big data in various fields stimulates the increased ... 详细信息
来源: 评论
clustering algorithms in echo state networks
International Journal of Signal Processing, Image Processing...
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International Journal of Signal Processing, Image Processing and Pattern Recognition 2016年 第5期9卷 15-24页
作者: Ashour, Wesam M. Abu-Issa, Abdallatif S. Hellwich, Olaf Islamic University of Gaza Palestine Birzeit University Palestine Technical University of Berlin Germany
In this work, we develop a new method of setting the input to reservoir and reservoir to reservoir weights in echo state machines. We use a clustering technique which we have previously developed as a pre-processing s... 详细信息
来源: 评论