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检索条件"主题词=DBSCAN algorithm"
116 条 记 录,以下是111-120 订阅
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Application of Particle Swarm Optimization Based on Clustering Analysis in Logistics Distribution
Application of Particle Swarm Optimization Based on Clusteri...
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3rd International Conference on Management of e-Commerce and e-Government
作者: Shi, Haobin Li, Zhonghua Li, Wenbin Yu, Zhujun Northwestern Polytech Univ Sch Comp Sci Xian 710072 Peoples R China Jiangxi Univ Finance & Econom Sch Informat Technol Nanchang Jiangxi Peoples R China
In order to solve the modern logistics problem of vehicle distribution, a particle swarm optimization (PSO) algorithm based on clustering analysis is proposed in this paper. This algorithm clusters the target points i... 详细信息
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Anomaly Detection from Call Data Records
Anomaly Detection from Call Data Records
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3rd International Conference on Pattern Recognition and Machine Intelligence
作者: Nithi Dey, Lipika TCS Innnovat Labs Delhi India
In this paper, we propose an efficient algorithm for anomaly detection from call data records. Anomalous users are detected based on fuzzy attribute values derived from their communication patterns. A clustering based... 详细信息
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Using Greedy algorithm: dbscan revisited II
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Journal of Zhejiang University Science 2004年 第11期5卷 1405-1412页
作者: 岳士弘 李平 郭继东 周水庚 InstituteofIndustrialProcessControl ZhejiangUniversityHangzhou310027China YiliTeacher'sCollege Yining835000China
The density-based clustering algorithm presented is different from the classical Density-Based Spatial Clustering of Applications with Noise (dbscan) (Ester et al., 1996), and has the following advantages: first, Gree... 详细信息
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Using Greedy algorithm: dbscan revisited II
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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2004年 第11期 94-101页
作者: 岳士弘 李平 郭继东 周水庚 Institute of Industrial Process Control Yining 835000 Hangzhou 310027 China Zhejiang University Yili Teacher’s College
The density-based clustering algorithm presented is different from the classical Density-Based Spatial Clus- tering of Applications with Noise (dbscan) (Ester et al., 1996), and has the following advantages: first, Gr... 详细信息
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Using Greedy algorithm:dbscan revisited Ⅱ
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浙江大学学报(英文版) 2004年 第11期5卷 1405-1412页
作者: 岳士弘 李平 郭继东 周水庚 Institute of Industrial Process Control Zhejiang UniversityHangzhou 310027China Yili Teacher's College Yining 835000China
The density-based clustering algorithm presented is different from the classical Density-Based Spatial Clustering of Applications with Noise(dbscan)(Ester et al.,1996),and has the following advantages: first,Greedy al... 详细信息
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Scaling up the dbscan algorithm for Clustering Large Spatial Databases Based on Sampling Technique
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Wuhan University Journal of Natural Sciences 2001年 第Z1期6卷 467-473页
作者: Guan Ji hong 1, Zhou Shui geng 2, Bian Fu ling 3, He Yan xiang 1 1. School of Computer, Wuhan University, Wuhan 430072, China 2.State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China 3.College of Remote Sensin School of Computer Wuhan University Wuhan China State Key Laboratory of Software Engineering Wuhan University Wuhan China College of Remote Sensing and Information Engineering Wuhan University Wuhan China
Clustering, in data mining, is a useful technique for discovering interesting data distributions and patterns in the underlying data, and has many application fields, such as statistical data analysis, pattern recogni... 详细信息
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