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1959 1
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1974 8
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1981 25
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1987 80
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2006 712
2007 717
2008 775
2009 895
2010 938
2011 1058
2012 1074
2013 1092
2014 1327
2015 1491
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2018 1880
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2024 3396
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36,927 results

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Page 1
Showing results for clusters k
Search for Clysters K instead (3 results)
Federated k-means based on clusters backbone.
Deng Z, Wang Y, Alobaedy MM. Deng Z, et al. PLoS One. 2025 Jun 12;20(6):e0326145. doi: 10.1371/journal.pone.0326145. eCollection 2025. PLoS One. 2025. PMID: 40504823 Free PMC article.
To address this issue, we propose a federated k-means clustering algorithm based on a cluster backbone called FKmeansCB. First, we add Laplace noise to all the local data, and run k-means clustering on the client side to obtain cluster ce …
To address this issue, we propose a federated k-means clustering algorithm based on a cluster backbone called FKmeansCB …
Using K-Means Clustering to Identify Physician Clusters by Electronic Health Record Burden and Efficiency.
Sim J, Mani K, Fazzari M, Lin J, Keller M, Kitsis E, Raheem A, Jariwala SP. Sim J, et al. Telemed J E Health. 2024 Feb;30(2):585-594. doi: 10.1089/tmj.2023.0167. Epub 2023 Aug 21. Telemed J E Health. 2024. PMID: 37603292
This study aims to use data from Signal, a tool provided by the Epic EHR, to analyze physician metadata in the Montefiore Health System via cluster analysis to assess EHR burden and efficiency. Methods: Data were obtained for a one-month period (July 2020) represent …
This study aims to use data from Signal, a tool provided by the Epic EHR, to analyze physician metadata in the Montefiore Health System via …
The K = 2 conundrum.
Janes JK, Miller JM, Dupuis JR, Malenfant RM, Gorrell JC, Cullingham CI, Andrew RL. Janes JK, et al. Mol Ecol. 2017 Jul;26(14):3594-3602. doi: 10.1111/mec.14187. Epub 2017 Jun 14. Mol Ecol. 2017. PMID: 28544181 Review.
Assessments of population genetic structure have become an increasing focus as they can provide valuable insight into patterns of migration and gene flow. structure, the most highly cited of several clustering-based methods, was developed to provide robust estimates withou …
Assessments of population genetic structure have become an increasing focus as they can provide valuable insight into patterns of migration …
Predicting multiple conformations via sequence clustering and AlphaFold2.
Wayment-Steele HK, Ojoawo A, Otten R, Apitz JM, Pitsawong W, Hömberger M, Ovchinnikov S, Colwell L, Kern D. Wayment-Steele HK, et al. Nature. 2024 Jan;625(7996):832-839. doi: 10.1038/s41586-023-06832-9. Epub 2023 Nov 13. Nature. 2024. PMID: 37956700 Free PMC article.
Using this method, named AF-Cluster, we investigated the evolutionary distribution of predicted structures for the metamorphic protein KaiB(5) and found that predictions of both conformations were distributed in clusters across the KaiB family. ...To test AF-Clus …
Using this method, named AF-Cluster, we investigated the evolutionary distribution of predicted structures for the metamorphic protei …
Clustering.
McLachlan GJ, Bean RW, Ng SK. McLachlan GJ, et al. Methods Mol Biol. 2008;453:423-39. doi: 10.1007/978-1-60327-429-6_22. Methods Mol Biol. 2008. PMID: 18712317
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with similar behavior across relevant tissue samples (or cell lines). ...Methods such as hierarchical agglomerative clustering, k-me …
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with s …
Clustering.
McLachlan GJ, Bean RW, Ng SK. McLachlan GJ, et al. Methods Mol Biol. 2017;1526:345-362. doi: 10.1007/978-1-4939-6613-4_19. Methods Mol Biol. 2017. PMID: 27896751
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with similar behavior across relevant tissue samples (or cell lines). ...Methods such as hierarchical agglomerative clustering, k-me …
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with s …
Subspace K-means clustering.
Timmerman ME, Ceulemans E, De Roover K, Van Leeuwen K. Timmerman ME, et al. Behav Res Methods. 2013 Dec;45(4):1011-23. doi: 10.3758/s13428-013-0329-y. Behav Res Methods. 2013. PMID: 23526258
To achieve an insightful clustering of multivariate data, we propose subspace K-means. Its central idea is to model the centroids and cluster residuals in reduced spaces, which allows for dealing with a wide range of cluster types and yields rich inter …
To achieve an insightful clustering of multivariate data, we propose subspace K-means. Its central idea is to model the centro …
Investigation of the Stability Mechanisms of Eight-Atom Binary Metal Clusters Using DFT Calculations and k-means Clustering Algorithm.
Orlando Morais F, Andriani KF, Da Silva JLF. Orlando Morais F, et al. J Chem Inf Model. 2021 Jul 26;61(7):3411-3420. doi: 10.1021/acs.jcim.1c00253. Epub 2021 Jun 23. J Chem Inf Model. 2021. PMID: 34161078
Here, we report density functional theory calculations combined with the k-means clustering algorithm and the Spearman rank correlation analysis to investigate the stability mechanisms of eight-atom binary metal AB clusters, where A and B are Fe, Co, N …
Here, we report density functional theory calculations combined with the k-means clustering algorithm and the Spearman rank co …
K-means clustering of outpatient prescription claims for health insureds in Iran.
Momahhed SS, Emamgholipour Sefiddashti S, Minaei B, Shahali Z. Momahhed SS, et al. BMC Public Health. 2023 Apr 28;23(1):788. doi: 10.1186/s12889-023-15753-1. BMC Public Health. 2023. PMID: 37118700 Free PMC article.
The Health Insurance Organization's outpatient claims were registered consecutively in 2016, 2017, 2018, and 2019 were clustered. DESIGN: The k-means clustering algorithm was used to cross-sectionally and retrospectively analyze secondary data from outpatient …
The Health Insurance Organization's outpatient claims were registered consecutively in 2016, 2017, 2018, and 2019 were clustered. DES …
Optimal Number of Clusters by Measuring Similarity Among Topographies for Spatio-Temporal ERP Analysis.
Mahini R, Xu P, Chen G, Li Y, Ding W, Zhang L, Qureshi NK, Hämäläinen T, Nandi AK, Cong F. Mahini R, et al. Brain Topogr. 2022 Nov;35(5-6):537-557. doi: 10.1007/s10548-022-00903-2. Epub 2022 Jul 18. Brain Topogr. 2022. PMID: 35851668
Averaging amplitudes over consecutive time samples (i.e., time window) is widely used to calculate the peak amplitude of event-related potentials (ERPs). Cluster analysis of the spatio-temporal ERP data is a promising tool to determine the time window of an ERP of i …
Averaging amplitudes over consecutive time samples (i.e., time window) is widely used to calculate the peak amplitude of event-related poten …
36,927 results
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