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A fast DBSCAN algorithm using a bi-directional HNSW index structure for big data
The Density Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is one of the most popular and effective density-based clustering...
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AutoRoC-DBSCAN: automatic tuning of DBSCAN to detect malicious DNS tunnels
Modern attacks, such as advanced persistent threats, hide command-and-control channels inside authorized network traffic like DNS or DNS over HTTPS...
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An improved DBSCAN Algorithm for hazard recognition of obstacles in unmanned scenes
The environmental perception system is the foundation of unmanned driving systems and also the fundamental guarantee of the safety and intelligence...
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Load Spectra Extrapolation by Bandwidth-Optimized Kernel Density Estimation Based on DBSCAN Algorithm
Load spectra extrapolation is the basis of fatigue analysis and life prediction in engineering. This paper extrapolates the loads based on the kernel...
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Power-Line Extraction and Modelling from 3D Point Clouds Data Based on K-D Tree DBSCAN Algorithm
In order to achieve rapid extraction and modeling of power lines in substations, this paper proposes a method of power line extraction and modeling...
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Bus Station Location Selection Method Based on DBSCAN-DPC Clustering Algorithm
Bus station selection requires cluster analysis of passenger travel data, and the passenger flow distribution data is relatively scattered and...
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Combination of Cooperative Grouper Fish -- Octopus Algorithm and DBSCAN to Automatic Clustering
Density-based spatial clustering of applications with noise (DBSCAN) has been used to cluster data with arbitrary shapes which clustering is done...
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Fake AP Detection Technology Based on Improved DBSCAN Algorithm
With the rapid development of the mobile Internet, mobile users’ access to the Internet through wireless networks has become one of the main access...
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A Research on an Unknown Radar Signal Sorting with DBSCAN-BP Algorithm
For the unknown radar signal, this paper proposes a radar signal sorting algorithm DBSCAN-BP algorithm which combines unsupervised learning with...
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Path Planning of Improved RRT* Based on DBSCAN Algorithm
Aiming at the path planning problem of the unmanned aerial vehicle (UAV) under complex and changeable flight environment and flexible missions, the...
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Research on GIS Data Maintenance Technology Based on DBSCAN Algorithm
For retail industry widespread retail chain outlets location information timeliness and poor maintenance difficult problem, put forward a dynamic...
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DBSCAN-based granular descriptors for rule-based modeling
Rule - based modeling is a useful approach in modeling both complex nonlinear and non-numeric systems, e.g. having linguistic information. However,...
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A copy-move forgery detection technique using DBSCAN-based keypoint similarity matching
In an era marked by the contrast between information and disinformation, the ability to differentiate between authentic and manipulated images holds...
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A Distributed Neighbourhood DBSCAN Algorithm for Effective Data Clustering in Wireless Sensor Networks
Conventional K-Means based distributed data clustering has limitation of detecting arbitrary shape clusters and requires number of clusters a priori....
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Feature selection in high-dimensional data: an enhanced RIME optimization with information entropy pruning and DBSCAN clustering
When confronted with high-dimensional data, evolutionary feature selection methods encounter the formidable challenge known as the “curse of...
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Research on Wastewater Quality Prediction Method Based on DBSCAN Algorithm and Conv1D-LSTM Model
Wastewater treatment and its quality prediction have always been pivotal for environmental protection and public health. Accurate forecasting of...
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Path Planning of Mobile Robot Based on DBSCAN Clustering and Improved BA*-APF Hybrid Algorithm
To effectively improve the problems of the traditional A* algorithm in mobile robot path planning, such as insufficient accuracy, long search time,...
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University Public Resource Management System Based on DBSCAN Algorithm
With the rapid development and widespread popularity of mobile Internet and mobile terminal equipment worldwide, more and more traditional industries...
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Generalized Net Model of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Algorithm and Its Application on Diabetes Dataset
Density-based spatial clustering of applications with noise (DBSCAN) is a data science algorithm for density-based clustering. A Generalized net (GN)...
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Alleviating Class Imbalance Issue in Software Fault Prediction Using DBSCAN-Based Induced Graph Under-Sampling Method
Software fault prediction aims to improve software quality by anticipating faults early in the software development process. It is possible to...
