Learning Vector Quantization

A supervised machine learning algorithm used for pattern classification, commonly applied in brain-computer interface systems to classify EEG signals. LVQ works by creating a set of reference vectors (codebook) that represent decision boundaries between different classes of input data. In accessibility applications, LVQ has been used to distinguish between brain states associated with imagined movement and idle states, enabling brain-controlled switches and other assistive devices.