Results 21 to 30 of about 30,395 (263)
Flexible Self-Organizing Maps in kohonen 3.0
Journal of Statistical Software, 2018 Self-organizing maps (SOMs) are popular tools for grouping and visualizing data in many areas of science. This paper describes recent changes in package kohonen, implementing several different forms of SOMs.
Ron Wehrens, Johannes Kruisselbrink
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Self Organizing Maps to efficiently cluster and functionally interpret protein conformational ensembles [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 An approach that combines Self-Organizing maps, hierarchical clustering and network components is presented, aimed at comparing protein conformational ensembles obtained from multiple Molecular Dynamic simulations.
Fabio Stella +2 more
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Detecting the Most Important Classes from Software Systems with Self Organizing Maps
Studia Universitatis Babes-Bolyai: Series Informatica, 2021 Self Organizing Maps (SOM) are unsupervised neural networks suited for visualisation purposes and clustering analysis. This study uses SOM to solve a software engineering problem: detecting the most important (key) classes from software projects.
Elena-Manuela MANOLE
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Self-Organizing Maps For Identifying Impaired Speech
Advances in Electrical and Computer Engineering, 2011 This paper presents a method of identifying heavily impaired pronunciations of 'r' consonant in Romanian language using Kohonen neural networks. The study focused on words that contain 'r' as the first letter and used signals recorded mainly from ...
GRIGORE, O., VELICAN, V.
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Earth's Future, 2023 Extratropical cyclones (ETCs) are responsible for the majority of cool‐season extreme events in the northeastern United States (NEUS), often leading to high‐impact weather conditions that can have wide‐ranging socioeconomic impacts.
Michelle J. Gore +2 more
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Prediction of stock market crash using self-organizing maps [PDF]
تحقیقات مالی, 2015 Market crash is a phenomenon which occurs in stock markets occasionally and leads to loss of the investors’ wealth and assets in a relatively short period of time.
Arash Mohamad Alizadeh +2 more
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Complex Drivers of Riparian Soil Oxygen Variability Revealed Using Self‐Organizing Maps
Water Resources Research, 2023 Oxygen (O2) regulates soil reduction‐oxidation processes and therefore modulates biogeochemical cycles. The difficulties associated with accurately characterizing soil O2 variability have prompted the use of soil moisture as a proxy for O2, as O2 ...
Brittany V. Lancellotti +5 more
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Decentralizing Self-organizing Maps
, 2022 This paper presents an algorithm for a decentralized self-organizing map. With the explosion in the availability of robotics platforms, and their increasing application to multi-agent systems and robot swarms, there is a need for a new generation of machine learning algorithms that can exploit the distributed nature of sensing and processing that can ...
Khan, Mohiuddin +2 more
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Mapping model behaviour using Self-Organizing Maps [PDF]
Hydrology and Earth System Sciences, 2009 Hydrological model evaluation and identification essentially involves extracting and processing information from model time series. However, the type of information extracted by statistical measures has only very limited meaning because it does not ...
M. Herbst, H. V. Gupta, M. C. Casper
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Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge +6 more
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