Search Results - Density-based spatial clustering of publications with noise algorithm*

Density-Based Spatial Clustering of Vegetation Fire Points Based on Genetic Optimization of Threshold Values.

Authors: Gao, Xuan Wang, Tao Xie, Ke

Source: Fire (2571-6255); Nov2025, Vol. 8 Issue 11, p431, 19p

Subject Terms: GENETIC algorithms, CLUSTERING algorithms, PARAMETERIZATION, FIRE risk assessment, GRASSLAND fires, SPATIAL arrangement

Geographic Terms: CHINA

An Improved Density-Based Spatial Clustering of Applications with Noise Algorithm with an Adaptive Parameter Based on the Sparrow Search Algorithm.

Authors: Huang, Zicheng Liang, Zuopeng Zhou, Shibo et al.

Source: Algorithms; May2025, Vol. 18 Issue 5, p273, 21p

Subject Terms: CLUSTERING algorithms, OPTIMIZATION algorithms, SEARCH algorithms, IMAGE segmentation, DATA mining

Enhanced Stratified Sampling-Density-Based Spatial Clustering of Applications With Noise (SS-DBSCAN) for High-Dimensional Data.

Authors: Monko, Gloriana Kimura, Masaomi

Source: Data Science (2451-8484); Jul-Dec2025, Vol. 8 Issue 2, p1-19, 19p

Subject Terms: DATA analysis, SCALABILITY, DATA mining, WEBOMETRICS, MACHINE learning

Application of Three-Dimensional Hierarchical Density-Based Spatial Clustering of Applications with Noise in Ship Automatic Identification System Trajectory-Cluster Analysis.

Authors: Wang, Shih-Ming Yang, Wen-Rong Zhuang, Qian-Yi et al.

Source: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2621, 15p

Subject Terms: SHIPBORNE automatic identification systems, CLUSTERING algorithms, MARITIME shipping, INTELLIGENT transportation systems, TIME complexity, HIERARCHICAL clustering (Cluster analysis)

Enhanced Stratified Sampling-Density-Based Spatial Clustering of Applications With Noise (SS-DBSCAN) for High-Dimensional Data

Authors: Gloriana Monko Masaomi Kimura

Source: Data Science. 8

Real-Time Analysis of Industrial Data Using the Unsupervised Hierarchical Density-Based Spatial Clustering of Applications with Noise Method in Monitoring the Welding Process in a Robotic Cell.

Authors: Blachowicz, Tomasz Wylezek, Jacek Sokol, Zbigniew et al.

Source: Information; Feb2025, Vol. 16 Issue 2, p79, 16p

Subject Terms: MACHINE learning, ROBOTIC welding, K-means clustering, MANUFACTURING processes, INDUSTRY 4.0

A Robust Distribution Network State Estimation Method Based on Enhanced Clustering Algorithm: Accounting for Multiple DG Output Modes and Data Loss

Authors: Levi, Victor Yu, Yue Jin, Zhaoyang et al.

Source: Levi, V, Yu, Y, Jin, Z, Ding, L, Cetenovic, D & Terzija, V 2024, 'A Robust Distribution Network State Estimation Method Based on Enhanced Clustering Algorithm: Accounting for Multiple DG Output Modes and Data Loss', International Journal of Electrical Power & Energy Systems, vol. 157, 109797, pp. 1-23. https://doi.org/10.1016/j.ijepes.2024.109797

Subject Terms: Density-based spatial clustering of applications with noise, forecasting-aided state estimation, improved particle swarm optimization, machine learning, neural network, state estimation

Availability: https://research.manchester.ac.uk/en/publications/f5eb9b49-8976-4625-9fce-7587c4e811d6
https://doi.org/10.1016/j.ijepes.2024.109797
https://www.semanticscholar.org/paper/A-robust-distribution-network-state-estimation-on-Yu-Jin/d718046f9535580118ba33d1c458dd514a2060ba

Enhanced spatial clustering of single-molecule localizations with graph neural networks.

Authors: Pineda, Jesús Masó-Orriols, Sergi Masoliver, Montse et al.

Source: Nature Communications; 11/3/2025, Vol. 16 Issue 1, p1-17, 17p

Subject Terms: GRAPH neural networks, CLUSTERING algorithms, SPATIAL analysis (Statistics), MICROSCOPY, MOLECULAR structure, MEASUREMENT uncertainty (Statistics), MOLECULAR clusters, NEUROSCIENCES

Data-Driven Noise-Resilient Method for Wind Farm Reactive Power Optimization.

Authors: Pan, Zhen Huang, Lijuan Huang, Kaiwen et al.

Source: Processes; Oct2025, Vol. 13 Issue 10, p3303, 16p

Subject Terms: REACTIVE power, WIND power plants, RECURRENT neural networks, DATA corruption, WAVELET transforms, FORECASTING, CLUSTERING algorithms

Lightning Location and Imaging Based on Electromagnetic Time Reversal and HDBSCAN.

Authors: Tan, Yide Zhou, Chen Zhang, Xinmiao et al.

Source: Remote Sensing; Nov2025, Vol. 17 Issue 22, p3748, 23p

Subject Terms: CLUSTERING algorithms, SIGNAL processing, SIGNAL filtering, ELECTROMAGNETIC theory, ATMOSPHERIC physics

Enhancing patient rehabilitation predictions with a hybrid anomaly detection model: Density‐based clustering and interquartile range methods.

Authors: Khan, Murad Ali Jang, Jong‐Hyun Iqbal, Naeem et al.

Source: CAAI Transactions on Intelligence Technology; Aug2025, Vol. 10 Issue 4, p983-1006, 24p

Subject Terms: OUTLIER detection, MEDICAL rehabilitation, STATISTICAL measurement, CLUSTERING algorithms, DATA quality, MACHINE learning, REGRESSION analysis, MEDICAL records

Enhancing Load Stratification in Power Distribution Systems Through Clustering Algorithms: A Practical Study.

Authors: Mendoza-Vitonera, Williams Serrano-Guerrero, Xavier Cabrera, María-Fernanda et al.

Source: Energies (19961073); Oct2025, Vol. 18 Issue 19, p5314, 19p

Subject Terms: CLUSTERING algorithms, GAUSSIAN mixture models, SMART power grids, K-means clustering, ELECTRIC power distribution grids, ENERGY consumption

Performance Analysis of Point Cloud Edge Detection for Architectural Component Recognition.

Authors: Kim, Youkyung Yun, Seokheon

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9593, 24p

Subject Terms: POINT cloud, EDGE detection (Image processing), CLUSTERING algorithms, CONSTRUCTION industry, ARCHITECTURAL design, OUTLIER detection

Air Conditioning Load Forecasting for Geographical Grids Using Deep Reinforcement Learning and Density-Based Spatial Clustering of Applications with Noise and Graph Attention Networks.

Authors: Long, Chuan Yang, Xinting Su, Yunche et al.

Source: Energies (19961073); Jun2025, Vol. 18 Issue 11, p2832, 19p

Subject Terms: REINFORCEMENT learning, GRAPH neural networks, DEEP reinforcement learning, AIR conditioning, HIERARCHICAL clustering (Cluster analysis)

Trajectory Segmentation and Clustering in Terminal Airspace Using Transformer–VAE and Density-Aware Optimization.

Authors: Chen, Quanquan Le, Meilong

Source: Aerospace (MDPI Publishing); Nov2025, Vol. 12 Issue 11, p969, 27p

Subject Terms: CLUSTERING algorithms, TRAFFIC monitoring, MATHEMATICAL optimization, OUTLIER detection, TRAJECTORIES (Mechanics), EMPIRICAL research, MACHINE learning

DBSCAN Clustering and Entropy Optimization for Geospatial Analysis of Urban–Rural Healthcare Inequities in Latin America.

Authors: Roach, Caleigh S. Shawwa, Jacob J. Kis, Matthew A. et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12278, 24p

Subject Terms: HEALTH equity, MACHINE learning, LATIN Americans, GEOSPATIAL data, CLUSTERING algorithms, POPULATION density, MAXIMUM entropy method, RURAL-urban differences

Geographic Terms: LATIN America, PERU, PARAGUAY, ECUADOR

Comparative Analysis of Distance Functions on DBSCAN Algorithm: Mapping Malnourished Toddlers in Medan City, Indonesia.

Authors: Karo Karo, Ichwanul Muslim Md Fudzee, Mohd Farhan Kasim, Shahreen et al.

Source: Journal of Soft Computing & Data Mining (JSCDM); 2025, Vol. 6 Issue 1, p262-277, 16p

Subject Terms: CLUSTERING algorithms, CITIES & towns, COSINE function, EUCLIDEAN distance, TODDLERS

Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition.

Authors: Vantas, Konstantinos Mirkopoulou, Vasiliki

Source: Geomatics (2673-7418); Jun2025, Vol. 5 Issue 2, p16, 28p

Subject Terms: CADASTRAL maps, CLUSTERING algorithms, REAL property, DATA integrity, ERROR analysis in mathematics, LAND management

Geographic Terms: GREECE

Sequential Clustering Phases for Environmental Noise Level Monitoring on a Mobile Crowd Sourcing/Sensing Platform.

Authors: Alhazemi, Fawaz

Source: Sensors (14248220); Mar2025, Vol. 25 Issue 5, p1601, 24p

Subject Terms: CROWDSENSING, CLUSTERING algorithms, NOISE pollution, CROWDSOURCING, PHASE noise, CELL phones

Fault diagnosis of planetary gearboxes under small and imbalanced samples based on enhanced Siamese network with improved downsampling module.

Authors: Zhang, Na Duan, Lixiang Fan, Xiaoxuan

Source: Journal of Vibration & Control; Dec2025, Vol. 31 Issue 23/24, p4858-4871, 14p

Subject Terms: FAULT diagnosis, DATA augmentation, CLUSTERING algorithms, GENERALIZATION, PLANETARY gearing, ARTIFICIAL neural networks, DATA quality