Search Results - "hierarchical clustering algorithm"

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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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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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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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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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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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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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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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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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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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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Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining by Han, Yongzhong, Su, Qianmin, Liu, Liang, Li, Ying, Huang, Jihan

“… The resulting enhanced features were used as input for a hierarchical clustering algorithm. Post-processing included expert validation of the algorithm's output to ensure the accuracy of the constructed annotated eligibility text…”
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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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Determining functional connectivity using fMRI data with diffusion-based anatomical weighting by Bowman, F. DuBois, Zhang, Lijun, Derado, Gordana, Chen, Shuo

“… Our awFC approach implements a hierarchical clustering algorithm that establishes neural processing networks…”
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Algorithmic clustering based on string compression to extract P300 structure in EEG signals by Sarasa, Guillermo, Granados, Ana, Rodriguez, Francisco B.

“… brain. One of the most common issues in the detection of this event is that its structure may differ between different subjects…”
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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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Choreographing couch and collimator in volumetric modulated arc therapy by Yang, Yingli, Zhang, Pengpeng, Happersett, Laura, Xiong, Jianping, Yang, Jie, Chan, Maria, Beal, Kathryn, Mageras, Gig, Hunt, Margie

“… This set is grouped into multiple continuous and extended subarcs subject…”
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Identifying reproducible resting state networks and functional connectivity alterations following chronic restraint stress in anaesthetized rats by Dai, Twain, Seewoo, Bhedita J., Hennessy, Lauren A., Bolland, Samuel J., Rosenow, Tim, Rodger, Jennifer

“…Resting-state functional MRI (rs-fMRI) in rodent models have the potential to bridge invasive experiments and observational human studies, increasing our…”
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Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) Found by Hierarchical Clustering by Tohka, Jussi, Zare, Marzieh, Prakash, Mithilesh, Kärkkäinen, Mikko, Neuroimaging Initiative, The Alzheimer’s Disease

“…A hierarchical clustering algorithm was applied to magnetic resonance images (MRI) of a cohort of 751 subjects having a mild cognitive impairment…”
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Hierarchical segmentation for traditional cultural pattern based on iterative compression and clustering by Hou, Xiaogang, Zhao, Haiying, Wang, Chunfa

“…How to effectively segment a given traditional cultural pattern into multiple coherent segments that are “meaningful” to the human visual perception and ensure…”
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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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