Results 11 to 20 of about 3,326,211 (292)
Survival cluster analysis [PDF]
Proceedings of the ACM Conference on Health, Inference, and Learning, 2020 Conventional survival analysis approaches estimate risk scores or individualized time-to-event distributions conditioned on covariates. In practice, there is often great population-level phenotypic heterogeneity, resulting from (unknown) subpopulations with diverse risk profiles or survival distributions. As a result, there is an unmet need in survival
Chapfuwa, Paidamoyo +4 more
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Cluster Correspondence Analysis [PDF]
Psychometrika, 2017 A method is proposed that combines dimension reduction and cluster analysis for categorical data by simultaneously assigning individuals to clusters and optimal scaling values to categories in such a way that a single between variance maximization objective is achieved.
van de Velden, M. +2 more
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Discriminative cluster analysis [PDF]
Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006 Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of programming and because it accomplishes a good trade-off between achieved performance and computational complexity.
Torre, Fernando De la, Kanade, Takeo
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, 2000 As an explorative technique, duster analysis provides a description or a reduction in the dimension of the data. It classifies a set of observations into two or more mutually exclusive unknown groups based on combinations of many variables. Its aim is to construct groups in such a way that the profiles of objects in the same groups are relatively ...
Mucha, Hans-Joachim, Sofyan, Hizir
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SSM: Population Health, 2022 Multiple studies have discussed the relationship between the built environment and non-infectious diseases, but research involving infectious diseases and the built environment is scarce.
Witri Indriyani +3 more
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Initial Cluster Analysis [PDF]
Journal of Computational Biology, 2018 We study a simple abstract problem motivated by a variety of applications in protein sequence analysis. Consider a string of 0s and 1s of length L, and containing D 1s. If we believe that some or all of the 1s may be clustered near the start of the sequence, which subset is the most significantly so clustered, and how significant is this clustering? We
Altschul, Stephen F., Neuwald, Andrew F.
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Pharmaceutics, 2023 This study aims to present an ultrasound-mediated nanobubble (NB)-based gene delivery system that could potentially be applied in the future to treat bone disorders such as osteoporosis.
Pedram Sotoudeh Bagha +8 more
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Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023 Bayesian cluster analysis offers substantial benefits over algorithmic approaches by providing not only point estimates but also uncertainty in the clustering structure and patterns within each cluster. An overview of Bayesian cluster analysis is provided, including both model-based and loss-based approaches, along with a discussion on the importance ...
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BMC Health Services Research, 2020 Background Monitoring progress towards Universal Health Coverage (UHC) requires an assessment of progress in coverage of health services and protection of households from the impact of direct out-of-pocket payments (i.e.
Brendan Kwesiga +7 more
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K-band luminosity (mass) segregation in AC118 at z=0.31 [PDF]
, 2001 Using new observations of the galaxy cluster A118 at intermediate redshift (z=0.31) in the Ks band, we were able to detect the cluster from the center to half the Abell radius (1.5 Mpc, Ho=50 km/s/Mpc) and possibly to 2.0 Mpc.
Andreon +29 more
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