提出了一种基于万有引力的非监督自组织聚类算法。
A unsupervised classification method was proposed based on universal gravitation.
本文提出一种基于模型的、适合变长符号序列的自组织聚类算法。
In this paper, we propose a model-based, self organizing feature map algorithm for the clustering of variable-length sequences.
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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