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parallel construction of approximate knn graph
Wang Dilin; Zheng Yanmei; Cao Jianwen
2012
Conference Name11th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2012
SourceProceedings - 11th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2012
Pages22-26
Conference DateOctober 19, 2012 - October 22, 2012
Conference PlaceGuilin, China
Indexed TypeEI
ISBN9780769548180
Department(1) Laboratory of Parallel Software and Computational Science of Software Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) Graduate University Chinese Academy of Sciences Beijing 100049 China
English AbstractBuilding k-nearest neighbor (kNN) graphs is a necessary step in such areas as data mining and machine learning. So in this paper, we attempt to study the kNN furthermore, we first propose a parallel algorithm for approximate kNN graph construction and then apply the kNN graph to the application of clustering. Experiments show that our MPI/OpenMP mixed mode codes can make the construction of approximate kNN graph faster and make the parallelization and implementation easier. Finally, we compare the results of agglomerative clustering methods by using our parallel algorithm to illustrate the applicability of this method. © 2012 IEEE.; Building k-nearest neighbor (kNN) graphs is a necessary step in such areas as data mining and machine learning. So in this paper, we attempt to study the kNN furthermore, we first propose a parallel algorithm for approximate kNN graph construction and then apply the kNN graph to the application of clustering. Experiments show that our MPI/OpenMP mixed mode codes can make the construction of approximate kNN graph faster and make the parallelization and implementation easier. Finally, we compare the results of agglomerative clustering methods by using our parallel algorithm to illustrate the applicability of this method. © 2012 IEEE.
KeywordParallel Architectures
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/15846
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Wang Dilin,Zheng Yanmei,Cao Jianwen. parallel construction of approximate knn graph[C],2012:22-26.
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