Výsledky vyhledávání - Density-based clustering algorithm~

CADENCE: Clustering Algorithm─Density-Based Exploration and Novelty Clustering with Efficiency Autor Chen, Lexin, Roe, Daniel R, Miranda-Quintana, Ramón Alain

“… However, more robust methods like density-based clustering demand substantial computational resources…”
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Adaptive partitioning by local density‐peaks: An efficient density‐based clustering algorithm for analyzing molecular dynamics trajectories Autor Liu, Song, Zhu, Lizhe, Sheong, Fu Kit, Wang, Wei, Huang, Xuhui

“…We present an efficient density‐based adaptive‐resolution clustering method APLoD for analyzing large…”
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RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates Autor Bryant, Avory, Cios, Krzysztof

“…A new density-based clustering algorithm, RNN-DBSCAN, is presented which uses reverse nearest neighbor counts as an estimate of observation density…”
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Novel density-based and hierarchical density-based clustering algorithms for uncertain data Autor Zhang, Xianchao, Liu, Han, Zhang, Xiaotong

“… and nonadaptive threshold have not been addressed well in the previous density-based algorithm FDBSCAN and hierarchical…”
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Detection of Power Data Outliers Using Density Peaks Clustering Algorithm Based on K-Nearest Neighbors Autor Li, Qingpeng, Chen, Lei, Wang, Yuhan

“…) is a simple and efficient density-based clustering algorithm with a good application prospect…”
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GrDBSCAN: A Granular Density–Based Clustering Algorithm Autor Suchy, Dawid, Siminski, Krzysztof

“…Density-based spatial clustering of applications with noise (DBSCAN) is a commonly known and used algorithm for data clustering…”
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HPPD : a hybrid parallel framework of partition-based and density-based clustering algorithms in data streams Autor al-Abd al-Aziz, Ammar Zahir Yasin

“… This paper presents a novel two-phase parallel hybrid clustering (HPPD) algorithm that identify convex and non-convex groups in online stage and mixed groups in offline stage from data stream…”
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LANDMARC indoor positioning algorithm based on density-based spatial clustering of applications with noise–genetic algorithm–radial basis function neural network Autor Ren, Jingqiu, Bao, Ke, Zhang, Guanghua, Chu, Li, Lu, Weidang

“… algorithm based on density-based spatial clustering of applications with noise–genetic algorithm–radial basis function neural network is proposed…”
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A self-adaptive density-based clustering algorithm for varying densities datasets with strong disturbance factor Autor Cai, Zihao, Gu, Zhaodong, He, Kejing

“… image analysis, text mining, and anomaly detection. DBSCAN is a powerful tool for clustering analysis and is widely used in density-based clustering algorithms…”
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ADCN: An anisotropic density‐based clustering algorithm for discovering spatial point patterns with noise Autor Mai, Gengchen, Janowicz, Krzysztof, Hu, Yingjie, Gao, Song

“…Density‐based clustering algorithms such as DBSCAN have been widely used for spatial knowledge discovery as they offer several key advantages compared with other clustering algorithms…”
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RECOME: A new density-based clustering algorithm using relative KNN kernel density Autor Geng, Yangli-ao, Li, Qingyong, Zheng, Rong, Zhuang, Fuzhen, He, Ruisi, Xiong, Naixue

“… In this paper, we propose the RElative COre MErge (RECOME) clustering algorithm. The core of RECOME is a novel density measure, i.e…”
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Analysis of Antioxidant Capacity Variation among Thai Holy Basil Cultivars (Ocimum tenuiflorum L.) Using Density-Based Clustering Algorithm Autor Saelao, Tanapon, Chutimanukul, Panita, Suratanee, Apichat, Plaimas, Kitiporn

“… This study aims to address this gap by shedding light on the diversity of antioxidant capacities within different accessions of Thai holy basil by employing a density-based clustering algorithm…”
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A k-Deviation Density Based Clustering Algorithm Autor Jun, Li, Dongyong, Yang, Jinyin, Chen, Jungan, Chen

“… To solve the problem, this paper extends DBSCAN by exploiting a new density definition and proposes a novel algorithm called k-deviation density based DBSCAN (kDDBSCAN…”
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Relative density-based clustering algorithm for identifying diverse density clusters effectively Autor Wang, Yuying, Yang, Youlong

“… In this paper, we propose a novel clustering algorithm relative density-based clustering algorithm for identifying diverse density clusters effectively called IDDC…”
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Improved BAT Algorithm Using Density-Based Clustering Autor Al-Asadi, Samraa, Al-Mamory, Safaa

“… An improved BAT algorithm based on the density-based clustering technique is proposed to enhance the algorithm’s performance…”
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“Seismic-mass” density-based algorithm for spatio-temporal clustering Autor Georgoulas, G., Konstantaras, A., Katsifarakis, E., Stylios, C.D., Maravelakis, E., Vachtsevanos, G.J.

“…► A novel spatio-temporal seismic clustering algorithm is presented. ► The first stage employs a new density based algorithm…”
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A survey of density based clustering algorithms Autor BHATTACHARJEE, Panthadeep, MITRA, Pinaki

“…Density based clustering algorithms (DBCLAs) rely on the notion of density to identify clusters of arbitrary shapes, sizes with varying densities…”
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A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity Autor Liu, Qiliang, Deng, Min, Shi, Yan, Wang, Jiaqiu

“… A new density-based spatial clustering algorithm (DBSC) is developed by considering both spatial proximity and attribute similarity…”
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A novel density-based clustering algorithm using nearest neighbor graph Autor Li, Hao, Liu, Xiaojie, Li, Tao, Gan, Rundong

“… Identifying the core samples within the dense regions of a dataset is a significant step of the density-based clustering algorithm…”
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GRIDEN: An effective grid-based and density-based spatial clustering algorithm to support parallel computing Autor Deng, Chao, Song, Jinwei, Sun, Ruizhi, Cai, Saihua, Shi, Yinxue

“…•Propose a new effective density-based and grid-based clustering algorithm GRIDEN for massive spatial data…”
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