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检索条件"主题词=DBScan Algorithm"
116 条 记 录,以下是1-10 订阅
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Load Spectra Extrapolation by Bandwidth-Optimized Kernel Density Estimation Based on dbscan algorithm
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JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES 2024年 第2期12卷 1445-1456页
作者: Yang, Xuefeng Zhou, Xiaojun Wan, Bowen Fu, Yimeng Zhejiang Univ Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou 310027 Peoples R China
Load spectra extrapolation is the basis of fatigue analysis and life prediction in engineering. This paper extrapolates the loads based on the kernel density estimation method, and a new bandwidth calculation method o... 详细信息
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An improved dbscan algorithm for hazard recognition of obstacles in unmanned scenes
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SOFT COMPUTING 2023年 第24期27卷 18585-18604页
作者: Zhang, Wenying Zhengzhou Univ Sch Elect & Informat Engn Zhengzhou 450001 Henan Peoples R China
The environmental perception system is the foundation of unmanned driving systems and also the fundamental guarantee of the safety and intelligence of unmanned vehicles. The obstacle hazard identification technology i... 详细信息
来源: 评论
K-dbscan: An improved dbscan algorithm for big data
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JOURNAL OF SUPERCOMPUTING 2021年 第6期77卷 6214-6235页
作者: Gholizadeh, Nahid Saadatfar, Hamid Hanafi, Nooshin Univ Birjand Birjand South Khorasan Iran
Big data storage and processing are among the most important challenges now. Among data mining algorithms, dbscan is a common clustering method. One of the most important drawbacks of this algorithm is its low executi... 详细信息
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Consumer clusters detection with geo-tagged social network data using dbscan algorithm: a case study of the Pearl River Delta in China
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GEOJOURNAL 2021年 第1期86卷 317-337页
作者: Fan, Tianhui Guo, Naijing Ren, Yujie Grenoble Ecole Management Dept Mkt Grenoble France Nanjing Forestry Univ Coll Landscape Architecture Nanjing Peoples R China Kyushu Univ Grad Sch Human Environm Studies Fukuoka Japan
With the advent of the Big Data era, multi-source geo-tagged data provide a new perspective and data source for urban spatial analysis. In order to accurately identify the location and characteristics of consumer clus... 详细信息
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An Improved dbscan algorithm for Adaptively Determining Parameters in Multi-density Environment  2021
An Improved DBSCAN Algorithm for Adaptively Determining Para...
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2nd International Conference on Artificial Intelligence and Information Systems (ICAIIS )
作者: Chen, Feiya Beijing Univ Technol Sch Software Engn Beijing Peoples R China
The density-based spatial clustering dbscan algorithm can realize clustering of arbitrary shapes in noisy data sets. The dbscan algorithm needs to manually determine the Eps and Min Pts parameters. As a result, the ac... 详细信息
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A fast dbscan algorithm for big data based on efficient density calculation
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EXPERT SYSTEMS WITH APPLICATIONS 2022年 203卷
作者: Hanafi, Nooshin Saadatfar, Hamid Univ Birjand Comp Engn Dept Birjand Iran
Today, data is being generated with a high speed. Managing large volume of data has become a challenge in the current age. Clustering is a method to analyze data that is generated in the Internet. Various approaches h... 详细信息
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A Semi-supervised Fuzzy Clustering Approach via Modifications of the dbscan algorithm  10th
A Semi-supervised Fuzzy Clustering Approach via Modification...
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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions (ICSCCW)
作者: Bedalli, Erind Mancellari, Enea Rada, Rexhep Epoka Univ Tirana Albania Univ Elbasan Elbasan Albania
In the data mining context, semi-supervised learning is applicable in circumstances where only a scarce amount of information on the intrinsic structure of a dataset is available. This information may be in the form a... 详细信息
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Evaluation Method of Switchgear State Based on Adaptive dbscan algorithm  5
Evaluation Method of Switchgear State Based on Adaptive DBSC...
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5th Asia Conference on Power and Electrical Engineering (ACPEE)
作者: Li, Yangyang Hu, Jinlei Lai, Junju Wang, Wei Yang, Fan Huang, He Guangdong Power Grid Corp Qingyuan Power Supply Bur Qingyuan Peoples R China Shanghai Univ Elect Power Sch Elect Engn Shanghai Peoples R China
In order to better identify the outlier in the detection data and reasonably evaluate the state of the switchgear, we propose a method for evaluating the state of switchgear based on the Density-Based Spatial Clusteri... 详细信息
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AT_dbscan: dbscan algorithm with Self-Variable Threshold
International Core Journal of Engineering
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International Core Journal of Engineering 2021年 第4期7卷 409-417页
作者: Haifeng Ma Aihua Wu
Based on the analysis of the shortcomings of the density-based clustering algorithm dbscan and its improved algorithm, an improved algorithm of dbscan based on self-variation of threshold value is proposed: AT_dbscan ... 详细信息
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Restricted Randomness dbscan : A faster dbscan algorithm  21
Restricted Randomness DBSCAN : A faster DBSCAN Algorithm
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2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)
作者: Sashakt Pathak Arushi Agarwal Ankita Ankita Mahendra Kumar Gurve Jaypee Institute of Information Technology India
Data Mining is the process of extracting useful and accurate information or patterns from large databases using different algorithms and methods of machine learning. To analyze the data, Clustering is one of the metho... 详细信息
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