自组织特征映射图算法 self-organizing Feature Map
对自组织特征映射神经网络的特性进行分析，并将其与矢量量化问题的实质进行比较，提出了一个实现矢量量化的自组织特征映射算法。
The characteristics of SOFM neural network is analysed and compared with the feature of Vector Quantizing problem in this paper. Based on this an algorithm for Vector Quantizing is put forward.
并对SOM算法进行了改进，提出了一种分类频率敏感自组织特征映射（CFSSOM）算法。
Then a classified frequency sensitive self-organizing feature map(CFSSOM) was proposed for the codebook training.
本文讨论了基于自组织特征映射网络聚类算法的基本原理，并指出了算法的缺陷。
In this paper, the basic principle of the clustering algorithm based on self-organizing feature map network is discussed, and pointed out its defects.
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