Results 1 to 10 of about 798,948 (275)
Density propagation based adaptive multi-density clustering algorithm. [PDF]
PLoS ONE, 2018 The performance of density based clustering algorithms may be greatly influenced by the chosen parameter values, and achieving optimal or near optimal results very much depends on empirical knowledge obtained from previous experiments.
Yizhang Wang, Wei Pang, You Zhou
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Underwater Source Counting with Local-Confidence-Level-Enhanced Density Clustering [PDF]
Sensors, 2023 Source counting is the key procedure of autonomous detection for underwater unmanned platforms. A source counting method with local-confidence-level-enhanced density clustering using a single acoustic vector sensor (AVS) is proposed in this paper.
Yang Chen +3 more
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A Density Clustering RAPID Based on an Array-Compensated Damage Index for Quantitative Damage Diagnosis [PDF]
SensorsGuided wave array-based structural health monitoring (SHM) is a promising solution for diagnosing damage in metal-connected structures. In this field, the reconstruction algorithm for probabilistic inspection (RAPID) is one of the most widely used ...
Qiao Bao +3 more
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Brain Density Clustering Analysis: A New Approach to Brain Functional Dynamics [PDF]
Frontiers in Neuroscience, 2021 BackgroundA number of studies in recent years have explored whole-brain dynamic connectivity using pairwise approaches. There has been less focus on trying to analyze brain dynamics in higher dimensions over time.MethodsWe introduce a new approach that ...
Ashkan Faghiri +17 more
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SOTXTSTREAM: Density-based self-organizing clustering of text streams. [PDF]
PLoS ONE, 2017 A streaming data clustering algorithm is presented building upon the density-based self-organizing stream clustering algorithm SOSTREAM. Many density-based clustering algorithms are limited by their inability to identify clusters with heterogeneous ...
Avory C Bryant, Krzysztof J Cios
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IEEE Access, 2023 A keyframe extraction and process recognition method for assembly operations is proposed based on density clustering to solve the problems of data redundancy and difficulty in obtaining valid data frames from the process of continuous assembly operations.
Yong Liu +5 more
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Underground roadway shape variable monitoring algorithm based on laser radar
Meikuang Anquan, 2023 In order to solve the problem of correct monitoring of underground roadway shape variables, a monitoring algorithm of underground roadway shape variables based on laser radar is designed based on the installation of high-precision laser radar and ...
ZHANG Huifeng +4 more
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Urban Area Function Zoning Based on User Relationships in Location-Based Social Networks
IEEE Access, 2020 With advanced development of Internet communication and ubiquitous computing, Social Networks are providing an important information channel for smart city construction.
Fei Hao +5 more
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An automatic density peaks clustering based on a density-distance clustering index
AIMS Mathematics, 2023 The density peaks clustering (DPC) algorithm plays an important role in data mining by quickly identifying cluster centers using decision graphs to identify arbitrary clusters. However, the decision graph introduces uncertainty in determining the cluster
Xiao Xu , Hong Liao, Xu Yang
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ISPRS International Journal of Geo-Information, 2023 Exploring spatiotemporal patterns of traffic accidents from historic crash databases is one essential prerequisite for road safety management and traffic risk prevention.
Yunfei Zhang +4 more
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