Search Results - dbscan clustering algorithm

GB-DBSCAN: A fast granular-ball based DBSCAN clustering algorithm by Cheng, Dongdong, Zhang, Cheng, Li, Ya, Xia, Shuyin, Wang, Guoyin, Huang, Jinlong, Zhang, Sulan, Xie, Jiang

“…Density-Based Spatial Clustering of Applications with Noise (DBSCAN) identifies high-density connected areas as clusters, so that it has advantages in discovering arbitrary-shaped clusters…”
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NaGB-DBSCAN: An improved DBSCAN clustering algorithm by natural neighbor and granular-ball by Luo, Ranliang, Li, Tianshuo, Pu, Rui, Yang, Juntao, Tang, Dongming, Yang, Lijun

“…DBSCAN is a robust density-based clustering algorithm, which performs well in handling noisy and irregular datasets…”
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HRRP multi-target recognition in a beam using prior-independent DBSCAN clustering algorithm by Guo, Peng-cheng, Liu, Zheng, Wang, Jing-jing

“… In this study, a novel multi-target recognition method is proposed based on prior-independent density-based spatial clustering of applications with noise (PI-DBSCAN) algorithm…”
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DBSCAN Clustering Algorithm Based on Big Data Is Applied in Network Information Security Detection by Zhang, Yan

“…In order to improve the certainty and clarity of information security detection, an application method of big data clustering algorithm in information security detection is proposed…”
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A Novel DBSCAN Clustering Algorithm via Edge Computing-Based Deep Neural Network Model for Targeted Poverty Alleviation Big Data by Liu, Hui, Liu, Yang, Qin, Zhenquan, Zhang, Ran, Zhang, Zheng, Mu, Liao

“…Big data technology has been developed rapidly in recent years. The performance improvement mechanism of targeted poverty alleviation is studied through the…”
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Artificial rabbits optimization algorithm with automatically DBSCAN clustering algorithm to similarity agent update for features selection problems by Hamdipour, Ali, Basiri, Abdolali, Zaare, Mostafa, Mirjalili, Seyedali

“… In this work, a new feature selection algorithm based on ARO meta-heuristic algorithm and DBSCAN clustering algorithm with automatic adjustment of input parameters (ARO-DBSCAN) is proposed…”
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Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm by Shen, Jianbing, Hao, Xiaopeng, Liang, Zhiyuan, Liu, Yu, Wang, Wenguan, Shao, Ling

“…In this paper, we propose a real-time image superpixel segmentation method with 50 frames/s by using the density-based spatial clustering of applications with noise (DBSCAN) algorithm…”
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HY-DBSCAN: A hybrid parallel DBSCAN clustering algorithm scalable on distributed-memory computers by Wu, Guoqing, Cao, Liqiang, Tian, Hongyun, Wang, Wei

“… Dbscan is a density-based clustering algorithm which is well known for its ability to discover clusters of arbitrary shape as well as to distinguish noise…”
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Fuzzy extensions of the DBScan clustering algorithm by Ienco, Dino, Bordogna, Gloria

“…The DBSCAN algorithm is a well-known density-based clustering approach particularly useful in spatial data mining for its ability to find objects…”
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A fast DBSCAN clustering algorithm by accelerating neighbor searching using Groups method by Mahesh Kumar, K., Rama Mohan Reddy, A.

“… Density Based Spatial Clustering of Applications with Noise (DBSCAN) can discover clusters of arbitrary shape and also handles outliers effectively…”
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ST-DBSCAN: An algorithm for clustering spatial–temporal data by Birant, Derya, Kut, Alp

“…This paper presents a new density-based clustering algorithm, ST-DBSCAN, which is based on DBSCAN…”
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Efficient and Fast Active Equalization Method for Retired Battery Pack Using Wide Voltage Range Bidirectional Converter and DBSCAN Clustering Algorithm by Lujun, Wang, Jinyang, Ke, Min, Zhan, Aina, Tian, Tiezhou, Wu, Xiaoxing, Zhang, Jiuchun, Jiang

“… The DBSCAN clustering algorithm is used to divide all battery cells into groups, and each group may contain one or more adjacent and nonadjacent battery…”
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Multivariate weather anomaly detection using DBSCAN clustering algorithm by Wibisono, S, Anwar, M T, Supriyanto, A, Amin, I H A

“… This research uses the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to separate between normal and anomalous weather data by considering multiple weather variables…”
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An automated approach for wood-leaf separation from terrestrial LIDAR point clouds using the density based clustering algorithm DBSCAN by Ferrara, Roberto, Virdis, Salvatore G.P., Ventura, Andrea, Ghisu, Tiziano, Duce, Pierpaolo, Pellizzaro, Grazia

“…•A geometric method for wood-leaves separation from TLS point clouds is proposed.•Classification of wood points is highly accurate in broad leaved non-decidous…”
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A data mining approach for improved interpretation of ERT inverted sections using the DBSCAN clustering algorithm by Sabor, Kawtar, Jougnot, Damien, Guerin, Roger, Steck, Barthélémy, Henault, Jean-Marie, Apffel, Louis, Vautrin, Denis

“… We selected an algorithm known as DBSCAN (Density-Based Spatial Clustering of Applications with Noise…”
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An Extended DBSCAN Clustering Algorithm by Fahim, Ahmed

“…Finding clusters of different densities is a challenging task. DBSCAN “Density-Based Spatial Clustering of Applications with Noise…”
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An Entropy-based Adaptive DBSCAN Clustering Algorithm and Its Application in THz Wireless Channels by Luo, Jiao, Liao, Xi, Wang, Yang, Zhang, Jie, Yu, Ziming, Wang, Guangjian, Li, Xianjin

“… In this paper, we propose an entropy-based adaptive density-based spatial clustering of applications with noise (EBA-DBSCAN…”
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Machine Well Screening Method Based on POI Data and DBSCAN Clustering Algorithm by Gan, Xing, Fan, Haiyan, Yang, Moyuan, Tang, Fangfang, Liu, Honglu, Ma, Zhijun

“… ArcGIS spatial analysis helped us pinpoint POIs with significant water demand. The DBSCAN clustering algorithm was then employed to scrutinize…”
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Classification of Subgroups of Solar and Heliospheric Observatory (SOHO) Sungrazing Kreutz Comet Group by the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Clustering Algorithm by Karimova, Ulkar, Yi, Yu

“… In this study, we introduce an automated classification technique using the density-based spatial clustering of applications with noise (DBSCAN…”
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Membership determination in open clusters using the DBSCAN Clustering Algorithm by Raja, M., Hasan, P., Mahmudunnobe, Md, Saifuddin, Md, Hasan, S.N.

“…In this paper, we apply the machine learning clustering algorithm Density Based Spatial Clustering of Applications with Noise (DBSCAN…”
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