The Learning Vector Quantization (LVQ) method is a classification method that is quite effective and widely used. However, this method has a weakness, namely, each attribute needs to be calculated distance, and the resulting accuracy depends on the initialization of the model, input parameters, and the amount of training data. This affects the resulting accuracy value. Therefore, it is necessar…