实验结果表明该算法能有效发现变长符号序列中的聚类模式。
Simulation results show that our method can successfully find patterns of clusters of the input variable-length sequences.
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.
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