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检索条件"主题词=clustering algorithms"
51242 条 记 录,以下是4891-4900 订阅
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clustering by deterministic annealing and Wishart based distance measures for fully-polarimetric SAR-data  7
Clustering by deterministic annealing and Wishart based dist...
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7th European Conference on Synthetic Aperture Radar, EUSAR 2008
作者: Hänsch, Ronny Jäger, Marc Hellwich, Olaf Department of Electrical Engineering Computer Science Computer Vision and Remote Sensing Sekr FR 3-1 Franklinstr. 28/29 BerlinD-10587 Germany
The basic assumption of clustering is that the observed data embodies a specific structure. This structure is represented by groups of data points, which are relativly isolated within the feature space. The goal of cl... 详细信息
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Hard and fuzzy c-means clustering with conditionally positive definite kernel
Hard and fuzzy c-means clustering with conditionally positiv...
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作者: Kanzawa, Yuchi Yasunori Endo, Yasunori Miyamoto, Sadaaki Shibaura Institute of Technology 3-7-5 Toyosu Koto-Ku Tokyo 135-8548 Japan University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki 305-8573 Japan
In this paper, we investigate three types of c-means clustering algorithms with a conditionally positive definite (cpd) kernel. One is based on hard c-means and two are based on standard and entropy-regularized fuzzy ... 详细信息
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Privacy-Preserving and Outsourced Density Peaks clustering Algorithm  3rd
Privacy-Preserving and Outsourced Density Peaks Clustering A...
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3rd International Conference on Frontiers in Cyber Security, FCS 2020
作者: Liang, Shaopeng Yang, Haomiao Zhou, Qixian Zhang, Minglu School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China State Key Laboratory of Cryptology P.O. Box 5159 Beijing100878 China
With the powerful platform of cloud, it is attractive for an organization with massive data to outsource to a cloud provider. However, the data owner may have concerns about the privacy of its data. In this paper, we ... 详细信息
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Improved clustering Algorithm Based on AOW clustering Algorithm  7
Improved Clustering Algorithm Based on AOW Clustering Algori...
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7th International Conference on Information, Communication and Networks, ICICN 2019
作者: Wang, Zhen Yu, Jianguo Wang, Lan Wang, Zhifang School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China
clustering algorithms play an important role in wireless self-organized network, especially the adaptive on-demand weighted clustering algorithm (AOW). But the AOW algorithm also has some limitations in most applicati... 详细信息
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A semi-supervised feature clustering algorithm with application toword sense disambiguation
A semi-supervised feature clustering algorithm with applicat...
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Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT
作者: Niu, Zheng-Yu Ji, Dong-Hong Tan, Chew Lim Institute for Infocomm Research 21 Heng Mui Keng Terrace 119613 Singapore Singapore Department of Computer Science National University of Singapore 3 Science Drive 2 117543 Singapore Singapore
In this paper we investigate an application of feature clustering for word sense disambiguation, and propose a semisupervised feature clustering algorithm. Compared with other feature clustering methods (ex. supervise... 详细信息
来源: 评论
StreamKM++: A clustering algorithm for data streams
StreamKM++: A clustering algorithm for data streams
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12th Annual Workshop on Algorithm Engineering and Experiments, ALENEX 2010
作者: Ackermann, Marcel R. Lammersen, Christiane Märtens, Marcus Raupach, Christoph Sohler, Christian Swierkot, Kamil Department of Computer Science University of Paderborn 33095 Paderborn Germany Department of Computer Science TU Dortmund 44221 Dortmund Germany
We develop a new k-means clustering algorithm for data streams, which we call STREAMKM++. Our algorithm computes a small weighted sample of the data stream and solves the problem on the sample using the k-MEANS++ algo... 详细信息
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Memory based message efficient clustering (MMEC) for enhancement of lifetime in wireless sensor networks using a node deployment protocol  11
Memory based message efficient clustering (MMEC) for enhance...
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Proceedings of the 2011 International Conference on Communication, Computing & Security
作者: Banerjee, Joydeep Mitra, Souvik Kumar Ghosh, Pradipta Naskar, Mrinal K. Department of E.T.C.E Jadavpur University Kolkata West Bengal India
The most important property of the wireless sensor networks deployed for their numerous applications is their self-organizing property. The self-organizing property calls for network decomposition into clusters of spe... 详细信息
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An electro-optical tracking method in target separation based on fuzzy clustering association rules
An electro-optical tracking method in target separation base...
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International Conference on Computer, Mechatronics, Control and Electronic Engineering
作者: Guo, Tong-Jian Gao, Hui-Bin Zhang, Shu-Mei Wu, Yong-Jun Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun China Graduate University of Chinese Academy of Sciences Beijing China Taiyuan Satellite Launch Center Taiyuan China
An effective tracking method is proposed to solve the problem that the electro-optical tracking system in Missile Range easily loses the real target during the target separation. Before target separation, the error co... 详细信息
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Anomaly Detection of Big Data Based on Improved Fast Density Peak clustering Algorithm  5th
Anomaly Detection of Big Data Based on Improved Fast Density...
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5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023
作者: Zhong, Fulong Lin, Tongxi Guangzhou Huashang Vocational College Guangzhou511300 China
Aiming at the problems of traditional clustering algorithms in the process of large amount of big data anomaly monitoring under the background of big data, a big data anomaly detection method based on improved fast de... 详细信息
来源: 评论
Evolutionary clustering using frequent itemsets
Evolutionary clustering using frequent itemsets
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1st International Workshop on Novel Data Stream Pattern Mining Techniques, StreamKDD'10, Held in Conjunction with the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
作者: Shankar, Ravi Kiran, G.V.R. Pudi, Vikram International Institute of Information Technology Hyderabad India
Evolutionary clustering is an emerging research area addressing the problem of clustering dynamic data. An evolutionary clustering should take care of two conflicting criteria: preserving the current cluster quality a... 详细信息
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