Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.

传统的特征提取方法主要有：主分量分析、奇异值分解、投影追踪、自组织映射等。

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In this paper, the basic principle of the clustering algorithm based on self-organizing feature map network is discussed, and pointed out its defects.

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。

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