Results 11 to 20 of about 3,233,612 (230)
, 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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Heliyon, 2020 Increasing electricity capacity to support economic growth has become a national development priority in Indonesia. The construction of a power plant needs to consider not only economic but also social and environmental impacts because the government can
Djoni Hartono +5 more
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Jurnal Economia, 2023 There are differences in the choice of cooking fuel in Indonesian households. Some households still not yet used clean fuel for daily cooking, even though clean energy is crucial and included in the Sustainable Development Goals (SDGs).
Hadi Prasojo, Djoni Hartono
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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
Paidamoyo Chapfuwa +4 more
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Image Processing Filters for Grids of Cells Analogous to Filters Processing Grids of Pixels
Frontiers in Computer Science, 2021 Intra- and extra-cellular processes shape tissues together. For understanding how neighborhood relationships between cells play a role in this process, having image processing filters based on these relationships would be beneficial. Those operations are
Robert Haase , Robert Haase
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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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Cluster Analysis of Ranunculus Species [PDF]
, 2002 The aim of the experiment was to examine whether the morphological characters of eleven species of Ranunculus collected from a number of populations were in agreement with the genetic data (isozyme).
SURANTO,
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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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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.
Takeo Kanade, Fernando De la Torre
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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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