Search Results - Density-based spatial clustering of applications with noise algorithm~

An Adaptive Clustering Scheme Based on Modified Density-Based Spatial Clustering of Applications with Noise Algorithm in Ultra-Dense Networks by Ren, Yuting, Xu, Rongtao

“…), which has been proven to effectively eliminate interference. Two machine learning algorithms, Density-Based Spatial Clustering of Applications with Noise (DBSCAN…”
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An Improved Density-Based Spatial Clustering of Applications with Noise Algorithm with an Adaptive Parameter Based on the Sparrow Search Algorithm by Huang, Zicheng, Liang, Zuopeng, Zhou, Shibo, Zhang, Shuntao

“…The density-based spatial clustering of applications with noise (DBSCAN) is able to cluster arbitrarily structured datasets…”
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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 by 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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Study of clustered damage in DNA after proton irradiation based on density-based spatial clustering of applications with noise algorithm by Tang, Jing, Zhang, Pengcheng, Xiao, Qinfeng, Li, Jie, Gui, Zhiguo

“… Therefore, this work presents a density-based spatial clustering of applications with noise (DBSCAN…”
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Spatial-temporal features of Bicycle-sharing transportation based on Density-Based Spatial Clustering of Applications with Noise Algorithm by Liu, Yixuan, Zeng, Lingfei, Lu, Yifu

“… Then, this paper clustered the data based on density-based spatial clustering of applications with noise (DBSCAN…”
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Adaptive sensor attack detection and defense framework for autonomous vehicles based on density by Miao, Zujia, Shao, Cuiping, Li, Huiyun, Cui, Yunduan, Tang, Zhimin

“… We first develop a reinforcement learning multi-armed Bandit-based Density-Based Spatial Clustering of Applications with Noise (BDBSCAN…”
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WAPPOS: A Distributed-Learning-Based Off-Board Path Planning System for AAV-Assisted Emergency Networks by Raja, Gunasekaran, Kundu, Pronoy, Vinayagam, Sanjaykumar, Rasheed, Fowzaan, Khowaja, Sunder Ali, Dev, Kapal

“…Establishing reliable communication networks in post-disaster environments is essential for effective emergency response. Deploying autonomous aerial vehicless…”
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Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm by Soni, Badal, Das, Pradip K, Thounaojam, Dalton Meitei

“…) features extraction and density-based clustering algorithm. The extracted SIFT features are matched using the generalised two nearest neighbours (2NN) procedure…”
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Fault Diagnosis in Gas Insulated Switchgear Based on Genetic Algorithm and Density- Based Spatial Clustering of Applications With Noise by Yang, Yuan, Suliang, Ma, Jianwen, Wu, Bowen, Jia, Weixin, Li, Xiaowu, Luo

“…) consisting of a feature selection method based on genetic algorithm (GA) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN…”
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Clustering analysis method and implementation in the MapReduce model for solving data-intensive problems by Liu, Zhongliang, Huang, Lili, Zong, Xiaoliang

“…In data-intensive environment, data mining and data analysis is a big challenge. It analyses basic algorithms, such as k-means algorithm and Density-Based Spatial Clustering of Applications with Noise (DBSCAN…”
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Extracting Coach Schedule Information from Massive Trajectory Data by Li, Jun, Li, Qingqi, Zhu, Yan, Ma, Yan, Zhou, Yanan

“… We used the Density-Based Spatial Clustering of Applications with Noise algorithm to identify locations of coach stations from the long time-series of historical trajectories, use the application…”
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Parallel Density‐Based Spatial Clustering with Dual‐Functional Memristive Crossbar Array by Cheong, Sunwoo, Shin, Dong Hoon, Lee, Soo Hyung, Jang, Yoon Ho, Park, Taegyun, Han, Janguk, Shim, Sung Keun, Kim, Yeong Rok, Han, Joon‐Kyu, Ghenzi, Néstor, Hwang, Cheol Seong

“…‐based spatial clustering of applications with noise (DBSCAN) algorithm in a low‐power, parallel‐computing memristor crossbar structure…”
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Research on multi-label classification method of transformer based on DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm by Wang, MingYu, Cheng, Rui

“…With the improvement of the intelligent level of power grid and the enhancement of the integrated characteristics of power grid, the degree of discretization…”
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Modeling Antimicrobial Prescriptions in Scotland: A Spatiotemporal Clustering Approach by Gieschen, Antonia, Ansell, Jake, Calabrese, Raffaella, Martin‐Barragan, Belen

“… In this context, density‐based clustering algorithms are flexible tools to analyze data by searching for group structures and therefore identifying peer groups of GPs with similar behavior…”
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Pengelompokan Data Pendistribusian Listrik Menggunakan Algoritma Density Based Spatial Clustering of Application With Noise (DBSCAN): Clustering Electricity Distribution Data Using Density-Based Spatial Clustering of Applications With Noise (DBSCAN) Algorithm by Farid, Miftah, Insani, Fitri, Agustian, Surya, Afriyanti, Liza

“… efisiensi dan konservasi energi, dan lain sebagainya.  Salah satu alat untuk mencapai tujuan tersebut adalah dengan mengelompokkan (clustering…”
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Meteor shower detection with density‐based clustering by Sugar, Glenn, Moorhead, Althea, Brown, Peter, Cooke, William

“…We present a new method to detect meteor showers using the density‐based spatial clustering of applications with noise algorithm (DBSCAN; Ester et al…”
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Spatiotemporal trajectory clustering: A clustering algorithm for spatiotemporal data by Ansari, Mohd Yousuf, Mainuddin, Ahmad, Amir, Bhushan, Gopal

“… (Density Based Spatial Clustering of Applications with Noise…”
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The Application of the OPTICS Algorithm to Cluster Analysis in Atom Probe Tomography Data by Wang, Jing, Schreiber, Daniel K., Bailey, Nathan, Hosemann, Peter, Toloczko, Mychailo B.

“… of applications with noise algorithm, can only accurately extract clusters of the same atomic density, neglecting several experimental realities, such as density variations…”
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A new mining framework with piecewise symbolic spatial clustering by Fang, Hongliang, Wang, Yan-Wu, Xiao, Jiang-Wen, Cui, Shichang, Qin, Zhaoyu

“… symbolic spatial clustering with noise algorithm…”
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An efficient method for subjectively choosing parameter 'k' automatically in VDBSCAN (Varied Density Based Spatial Clustering of Applications with Noise) algorithm by Chowdhury, A K M Rasheduzzaman, Mollah, Md Elias, Rahman, Md Asikur

“… VDBSCAN is introduced to compensate this problem. It is same as DBSCAN (Density Based Spatial Clustering of Applications with Noise…”
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