LVQ算法( Learning Vector Quantization，学习矢量量化网络)是一种基于模型（神经网络）的方法，本实验要实现的是对LVQ改进的聚类方法——MLVQ（闫德勤等人提出）。该方法克服了LVQ算法对初值敏感的问题和广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章)-LVQ algorithm (Learning Vector Quantization. learning vector quantization network) is a model-based (neural network), To achieve this experiment are the LVQ improved clustering method -- Clustering (Yan Touche others made). The method overcomes the initial LVQ algorithm sensitive to the problems and generalized learning vector quantization (GLVQ) Network Performance instability shortcomings. (Article)