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Methods/SOM

SOM

Self-Organizing Map

GeneralIntroduced 2000106 papers

Description

The Self-Organizing Map (SOM), commonly also known as Kohonen network (Kohonen 1982, Kohonen 2001) is a computational method for the visualization and analysis of high-dimensional data, especially experimentally acquired information.

Extracted from scholarpedia

Sources:

Image: scholarpedia

Paper: Kohonen, T. Self-organized formation of topologically correct feature maps. Biol. Cybern. 43, 59–69 (1982)

Book: Self-Organizing Maps

Papers Using This Method

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration2025-06-09Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations2025-04-18aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis2025-04-13Comparison between neural network clustering, hierarchical clustering and k-means clustering: Applications using fluidic lenses2025-03-28A systematic literature review of unsupervised learning algorithms for anomalous traffic detection based on flows2025-03-11Magma: A Foundation Model for Multimodal AI Agents2025-02-18TRISHUL: Towards Region Identification and Screen Hierarchy Understanding for Large VLM based GUI Agents2025-02-12A Survey on Recent Advances in Self-Organizing Maps2024-12-10Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving2024-11-26Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models2024-11-01Self-Organizing Maps of Unbiased Ligand-Target Binding Pathways and Kinetics2024-09-19IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web2024-09-14Clustering of Indonesian and Western Gamelan Orchestras through Machine Learning of Performance Parameters2024-09-03Application of Unsupervised Artificial Neural Network (ANN) Self_Organizing Map (SOM) in Identifying Main Car Sales Factors2024-07-29Scatterer Recognition for Multi-Modal Intelligent Vehicular Channel Modeling via Synesthesia of Machines2024-06-27Determining cell population size from cell fraction in cell plasticity models2024-05-07List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs2024-04-25Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering2024-04-14SOMson -- Sonification of Multidimensional Data in Kohonen Maps2024-03-15Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps2024-02-19