Search Results - "hierarchical clustering algorithms"

Applying agglomerative hierarchical clustering algorithms to component identification for legacy systems by Cui, Jian Feng, Chae, Heung Seok

“… Currently, many component identification approaches have been developed based on agglomerative hierarchical clustering algorithms…”
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Agglomerative and divisive hierarchical Bayesian clustering by Burghardt, Elliot, Sewell, Daniel, Cavanaugh, Joseph

“… Two model-based Bayesian hierarchical clustering algorithms are presented—divisive and agglomerative…”
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Research on the Reform Path of Music Teaching in Colleges and Universities in the Era of Artificial Intelligence by Zhang, Kai

“… In order to construct the learning community, the AGNES hierarchical clustering algorithm is used to cluster individual samples in the dataset…”
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Identifying network state-based Parkinson's disease subtypes using clustering and support vector machine models by Nguchu, Benedictor Alexander, Han, Yifei, Wang, Yanming, Shaw, Peter

“… Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson's Progression Markers Initiative…”
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Who Is at Risk of Poor Mental Health Following Coronavirus Disease-19 Outpatient Management? by Hüfner, Katharina, Tymoszuk, Piotr, Ausserhofer, Dietmar, Sahanic, Sabina, Pizzini, Alex, Rass, Verena, Galffy, Matyas, Böhm, Anna, Kurz, Katharina, Sonnweber, Thomas, Tancevski, Ivan, Kiechl, Stefan, Huber, Andreas, Plagg, Barbara, Wiedermann, Christian J., Bellmann-Weiler, Rosa, Bachler, Herbert, Weiss, Günter, Piccoliori, Giuliano, Helbok, Raimund, Loeffler-Ragg, Judith, Sperner-Unterweger, Barbara

“…Coronavirus Disease-19 (COVID-19) convalescents are at risk of developing a mental health disorder or worsening of a pre-existing one. COVID-19 outpatients…”
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A Robust Density-Based Hierarchical Clustering Algorithm by Mohammadi, Mohammad, Parvin, Hamid, Nematbakhsh, Naser, Heidarzadegan, Ali

“…Clustering the genes based on their expression patterns is one of the important subjects in analyzing microarray data…”
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Automatic Identification of Similar Pull-Requests in GitHub’s Repositories Using Machine Learning by Eyal Salman, Hamzeh, Alshara, Zakarea, Seriai, Abdelhak-Djamel

“…Context: In a social coding platform such as GitHub, a pull-request mechanism is frequently used by contributors to submit their code changes to reviewers of a…”
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Exploring supervised and unsupervised methods to detect topics in biomedical text by Lee, Minsuk, Wang, Weiqing, Yu, Hong

“… naïve Bayes to assign automatically a document into one or more predefined topics; and Topic Clustering, which apply unsupervised hierarchical clustering algorithms to aggregate documents…”
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189 Elevated Inflammation and Decreased Platelet Activity is Associated with Poor Outcomes After Traumatic Brain Injury by Lewis, Cole T, Savarraj, Jude P, McGuire, Mary F, Choi, H Alex, Kitagawa, Ryan Seiji

“… METHODS Serum from acute TBI subjects were collected within 24hrs(T1) and 24–48hrs(T2). CC levels were measured using a multiplex 41-plex-kit…”
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A Multi-Relational Hierarchical Clustering Algorithm Based on Shared Nearest Neighbor Similarity by Jing-Feng Guo, Yu-Yan Zhao, Jing Li

“… In this paper, we introduce a multi-relational hierarchical clustering algorithm based on shared nearest neighbor similarity (MHSNNS…”
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EMG Signal Processing with Clustering Algorithms for motor gesture Tasks by Asanza, Victor, Pelaez, Enrique, Loayza, Francis, Mesa, Iker, Diaz, Javier, Valarezo, Edwin

“…Recent research shows the possibility of using electromyography (EMG) electrical signals to control devices or prosthesis. The EMG signals are measured in…”
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EEG signal clustering for motor and imaginary motor tasks on hands and feet by Asanza, Victor, Pelaez, Enrique, Loayza, Francis

“… In some cases, EEG data are used to determine the intentionality of the subject when performing motor and imaginary motor tasks…”
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Clustering cliques for graph-based summarization of the biomedical research literature by Zhang, Han, Fiszman, Marcelo, Shin, Dongwook, Wilkowski, Bartlomiej, Rindflesch, Thomas C

“… Themes contained in the summary were identified with a hierarchical clustering algorithm based on common arguments shared among cliques…”
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Tone perception in Mandarin-speaking school age children with otitis media with effusion by Cai, Ting, McPherson, Bradley, Li, Caiwei, Yang, Feng

“…) in noisy listening environments. The study investigated the interaction effects of noise, tone type, age, and hearing status on monaural tone perception, and assessed the application of a hierarchical clustering algorithm…”
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Saliva/pathogen biomarker signatures and periodontal disease progression by Kinney, J S, Morelli, T, Braun, T, Ramseier, C A, Herr, A E, Sugai, J V, Shelburne, C E, Rayburn, L A, Singh, A K, Giannobile, W V

“… A hierarchical clustering algorithm was used to group study participants based on clinical, microbiological, salivary/serum biomarkers, and PDP…”
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CLUST: Simulating Realistic Crowd Behaviour by Mining Pattern from Crowd Videos by Zhao, M., Cai, W., Turner, S. J.

“…) are extracted from videos to describe how pedestrians avoid collisions, which are then clustered using hierarchical clustering algorithm with a novel distance function to find similar patterns…”
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Finding common task-related regions in fMRI data from multiple subjects by periodogram clustering and clustering ensemble by Ye, Jun, Li, Yehua, Lazar, Nicole A., Schaeffer, David J., McDowell, Jennifer E.

“… We apply a divisive hierarchical clustering algorithm to the estimated periodograms within a single subject and identify the task…”
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EMG analysis across different tasks improves prevention screenings in diabetes: a cluster analysis approach by Piatkowska, Weronika, Spolaor, Fabiola, Guiotto, Annamaria, Guarneri, Gabriella, Avogaro, Angelo, Sawacha, Zimi

“…) to classify diabetic subjects with and without neuropathy and discriminate them from healthy controls and second to assess the role of the task acquired in the classification process…”
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Protein-protein docking by simulating the process of association subject to biochemical constraints by Motiejunas, Domantas, Gabdoulline, Razif, Wang, Ting, Feldman-Salit, Anna, Johann, Tim, Winn, Peter J., Wade, Rebecca C.

“… The docked configurations are then grouped with a hierarchical clustering algorithm into ensembles that represent potential protein…”
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Multimodal assessment of normal-appearing corpus callosum is a useful marker of disability in relapsing–remitting multiple sclerosis: an MRI cluster analysis study by Barone, Stefania, Caligiuri, Maria Eugenia, Valentino, Paola, Cherubini, Andrea, Chiriaco, Carmelina, Granata, Alfredo, Filippelli, Enrica, Tallarico, Tiziana, Nisticò, Rita, Quattrone, Aldo

“… Thickness and fractional anisotropy (FA) along midsagittal CC were extracted, and values from RRMS patients were fed to a hierarchical clustering algorithm…”
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