Neural Gas

Neural gas is an unsupervised neural network algorithm used for clustering and feature extraction, primarily focusing on adapting to complex, high-dimensional data without predefined structures. Current research emphasizes its application in various domains, including emotion recognition from physiological signals, anomaly detection in image streams, and brain tumor detection from MRI data, often incorporating it within larger hybrid models combining neural gas with other techniques like XGBoost or support vector machines. This adaptability and its ability to handle both static and streaming data make neural gas a valuable tool for diverse applications requiring efficient and robust pattern recognition and data representation.