Search Results - HDBSCAN clustering algorithm

An Implementation of the HDBSCAN Clustering Algorithm by Stewart , Geoffrey, Al-Khassaweneh, Mahmood

“…An implementation of the HDBSCAN* clustering algorithm, Tribuo Hdbscan, is presented in this work…”
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Meteoroid Stream Identification with HDBSCAN Unsupervised Clustering Algorithm by Peña-Asensio, Eloy, Ferrari, Fabio

“… This study evaluates the performance of the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN…”
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Membership Study of Open Cluster NGC 6134 using HDBSCAN Clustering Algorithm by Yusuf, M, Ramadhan, D G, Jatmiko, A T P, Perhati, T, Ramadhan, S, Arwinata, H I, Yap, F, Satya, L, Mandey, D, Arifyanto, M I, Premadi, P W

“… This poses a challenge in distinguishing between cluster member stars and field stars. For this purpose, we use the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN…”
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Trajectory clustering based on FB-HDBSCAN algorithm by Jia, Yiqiao, He, Tianzhang, Wang, Liangzhe

“…) algorithm is introduced for adaptive parameter optimization, and the optimal parameters, along with the distance matrix, are input into the HDBSCAN algorithm framework to achieve automatic clustering of trajectory data…”
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A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions by Zhang, Fang, Liu, Huanling, Wen, Hanjiang

“… In this study, we propose a method for constructing a data-adaptive network of SRBFs using a modified Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN…”
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Exploring the Pharmacogenomic Map of Croatia: PGx Clustering of 522-Patient Cohort Based on UMAP + HDBSCAN Algorithm by Brlek, Petar, Bulić, Luka, Mršić, Leo, Sokač, Mateo, Brenner, Eva, Matišić, Vid, Skelin, Andrea, Bach-Rojecky, Lidija, Primorac, Dragan

“…’ health and the economy of the healthcare system. The aim of this study was to present insights gained from the pharmacogenetics-based clustering of over 500 patients from the Croatian population…”
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Big data Analysis of Regional Meteorological Observation Based : on Hierarchical Density Clustering Algorithm HDBSCAN by Liu, Jingya, Sun, Shiteng, Chen, Chen

“… (Principal Component Analysis), and the HDBSCAN clustering algorithm is used to classify the data into climate…”
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Flight Anomaly Detection via a Deep Hybrid Model by Qin, Kun, Wang, Qixin, Lu, Binbin, Sun, Huabo, Shu, Ping

“… The hybrid model combines a time-feature attention-based convolutional autoencoder with the HDBSCAN clustering algorithm, where the autoencoder is constructed and trained to extract flight features…”
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MDSCAN: RMSD-based HDBSCAN clustering of long molecular dynamics by González-Alemán, Roy, Platero-Rochart, Daniel, Rodríguez-Serradet, Alejandro, Hernández-Rodríguez, Erix W, Caballero, Julio, Leclerc, Fabrice, Montero-Cabrera, Luis

“… From the arsenal of clustering algorithms, HDBSCAN stands out as a hierarchical density-based alternative that provides robust differentiation of intimately related elements from noise data…”
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Visualizing correlated motion with HDBSCAN clustering by Melvin, Ryan L., Xiao, Jiajie, Godwin, Ryan C., Berenhaut, Kenneth S., Salsbury, Freddie R.

“…‐parametric clustering algorithm HDBSCAN. Although the method we propose here can be used to group residues using correlation as a similarity matrix…”
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A comprehensive and hybrid approach to automatic and interactive point cloud segmentation using surface variation analysis and HDBSCAN clustering by Sadaoui, Sif Eddine, Qie, Yifan, Anwer, Nabil, Remil, Oussama, Abdi, Imad, Benaldjia, Nouh, Mammeri, Ismail Ahmed

“…•A novel surface variation parameter is introduced and tested for edge point detection.•A comparative analysis of clustering methods for partitioning dense 3D point clouds is presented…”
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Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning by Neuville, Romain, Bates, Jordan Steven, Jonard, François

“…Monitoring the structure of forest stands is of high importance for forest managers to help them in maintaining ecosystem services. For that purpose, Unmanned…”
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Improved time series clustering based on new geometric frameworks by Péalat, Clément, Bouleux, Guillaume, Cheutet, Vincent

“…•We analyze over 79 times series databases different frameworks.•The advocated framework is the Stiefel embedding followed by the UMAP and HDBSCAN algorithms…”
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FLASC: a flare-sensitive clustering algorithm by Bot, Daniël M., Peeters, Jannes, Liesenborgs, Jori, Aerts, Jan

“… FLASC builds upon HDBSCAN*—a state-of-the-art density-based clustering algorithm—and detects branches in a post-processing step using within-cluster connectivity…”
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Lightning Location and Imaging Based on Electromagnetic Time Reversal and HDBSCAN by Tan, Yide, Zhou, Chen, Zhang, Xinmiao, Liu, Tongxin

“… localization and imaging method that combines the Electromagnetic Time Reversal (EMTR) algorithm with the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm…”
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Strategies for EELS Data Analysis. Introducing UMAP and HDBSCAN for Dimensionality Reduction and Clustering by Blanco-Portals, Javier, Peiró, Francesca, Estradé, Sònia

“…Hierarchical density-based spatial clustering of applications with noise (HDBSCAN) and uniform manifold approximation and projection…”
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Hybrid Outlier Detection Framework Based on Optimized KMeans and HDBSCAN Using Bat Algorithm and LSTM Autoencoder by Abdelsamie, Mai, Refaat, Hosam, Abdallah, Mohammed, Farouk, Osama

“… clustering with HDBSCAN, enhanced through Bat Algorithm-based optimization for dynamic selection of clustering parameters (eps and minsamples…”
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A Low-Cost and Efficient Spatial-Temporal Model for Indoor Localization "H-LSTMF" by Kumar, Ritesh, Singh, Sunakshi, Chaurasiya, Vijay Kumar

“…) uncertainties and reducing noise and training time. The hierarchical-density-based spatial clustering of applications with noise (HDBSCAN…”
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Anomaly detection of ship behavior based on deep neural networks by Shu, Yaqing, Dong, Ao, Liu, Chengyong, Gan, Langxiong, Song, Lan

“… To address this challenge, a method that integrates a hierarchical density-based spatial clustering algorithm (HDBSCAN…”
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Application of artificial intelligence techniques for the profiling of visitors to tourist destinations by Schrader, Juan, Pinedo, Lloy, Vargas, Franz, Martell, Karla, Seijas-Díaz, José, Rengifo-Amasifen, Roger, Cueto-Orbe, Rosa, Torres-Silva, Cinthya

“… The data were processed using the clustering algorithms K-Means, DBSCAN, HDBSCAN, and Agglomerative, with Principal Component Analysis applied beforehand for dimensionality reduction…”
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