Face detection based on K-medoids clustering and associated with convolutional neural networks. [PDF]
HeliyonRamadevi P, Das R.
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Knowledge-constrained K-medoids Clustering of Regulatory Rare Alleles for Burden Tests. [PDF]
Evol Comput Mach Learn Data Min Bioinform, 2013 Sivley RM, Fish AE, Bush WS.
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Detection of differences in physical symptoms between depressed and undepressed patients with breast cancer: a study using K-medoids clustering. [PDF]
BMC CancerTang J +9 more
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Prediction of steelmaking process variables using K-medoids and a time-aware LSTM network. [PDF]
HeliyonZheng R, Bao Y, Zhao L, Xing L.
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Distinct sleep-disordered breathing phenotypes in elderly patients with depressive disorder: links to hypoxemia severity and inflammatory burden. [PDF]
Front PsychiatryZheng JX, Jin H, Hu SJ, Zhu SS, Xu SY.
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Large-scale cryptic proteome mining revealed potential phage-mediated host-pathogen genetic exchange in Mycobacterium tuberculosis. [PDF]
PLoS OneBhalla N, Angrish N.
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Integrated site selection framework for origin-based cold storage using GIS-MCDM and improved Harris Hawks optimization. [PDF]
Sci RepLi Y, Li F, Yang X, Meng X, Han J.
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Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning. [PDF]
Sci RepBrasiliano P +10 more
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Boosting thyroid nodule diagnosis through ultrasound and molecular imaging integration with unsupervised learning. [PDF]
Quant Imaging Med SurgFacchinetti F +4 more
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A Two-Level Clustered Consensus-Based Bundle Algorithm for Dynamic Heterogeneous Multi-UAV Multi-Task Allocation. [PDF]
Sensors (Basel)Wang Y, Wang C, Ren S.
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