8 天前 - … We then constructed landscape structure archetypes using self-organizing maps
(SOMs) to assess the complex interaction of landscape composition and configuration …

18 天前 - … factors) through the implementation of a self-organizing map ( S O M ). The primary
objective is to conduct facies classification based on porosity. This approach offers distinct …

19 天前 - … a variant of self-organizing maps, EnvSOM, which allows conditioning the projection
of these maps based on a set of variables. This variant is applied to operational data from …

28 天前 - … Self-Organizing Maps (SOM); and (iv) interpreting the resulting classes. Matrix
porosity values and non-matrix pore sizes categorize the porosity into four facies (A to D). Facies …

29 天前 - … The selected metabolites were incorporated into Self-Organizing Maps, along with
Kmeans methods, to perform sex-specific clustering, allowing for a nuanced exploration of …

42 天前 - … Self-organizing map is an unsupervised artificial neural network and is trained using
the 184 observations and features of the dataset to reduce the data … data explorations. In …

45 天前 - … The significant sets of model input attributes for the different operational modes
were assessed via Spearman ranking correlation, Self-Organizing Map (SOM) analysis and …

52 天前 - … Using DL in the prediction of unknown data needs a huge training dataset, so it
is expected to use data augmentation as a solution, Self-Organizing Map, and AE in feature …

69 天前 - … Integrated self-organizing map and k-means showing the 3 clusters of census
tracts in Milwaukee County based on similarities among the 12 mental health risk factors. The …

72 天前 - … Comorbidity patterns among the older adults were identified using a two-step
clustering method that combined self-organizing maps and K-Means. The association between …